100+ datasets found
  1. f

    Data_Sheet_1_Prediction of COVID-19 Waves Using Social Media and Google...

    • figshare.com
    zip
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Samira Yousefinaghani; Rozita Dara; Samira Mubareka; Shayan Sharif (2023). Data_Sheet_1_Prediction of COVID-19 Waves Using Social Media and Google Search: A Case Study of the US and Canada.ZIP [Dataset]. http://doi.org/10.3389/fpubh.2021.656635.s001
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Samira Yousefinaghani; Rozita Dara; Samira Mubareka; Shayan Sharif
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada, United States
    Description

    The ongoing COVID-19 pandemic has posed a severe threat to public health worldwide. In this study, we aimed to evaluate several digital data streams as early warning signals of COVID-19 outbreaks in Canada, the US and their provinces and states. Two types of terms including symptoms and preventive measures were used to filter Twitter and Google Trends data. We visualized and correlated the trends for each source of data against confirmed cases for all provinces and states. Subsequently, we attempted to find anomalies in indicator time-series to understand the lag between the warning signals and real-word outbreak waves. For Canada, we were able to detect a maximum of 83% of initial waves 1 week earlier using Google searches on symptoms. We divided states in the US into two categories: category I if they experienced an initial wave and category II if the states have not experienced the initial wave of the outbreak. For the first category, we found that tweets related to symptoms showed the best prediction performance by predicting 100% of first waves about 2–6 days earlier than other data streams. We were able to only detect up to 6% of second waves in category I. On the other hand, 78% of second waves in states of category II were predictable 1–2 weeks in advance. In addition, we discovered that the most important symptoms in providing early warnings are fever and cough in the US. As the COVID-19 pandemic continues to spread around the world, the work presented here is an initial effort for future COVID-19 outbreaks.

  2. Impact of COVID-19 on Pharmaceutical Social Media Influencer Activity - June...

    • store.globaldata.com
    Updated Jun 30, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2020). Impact of COVID-19 on Pharmaceutical Social Media Influencer Activity - June 2020 [Dataset]. https://store.globaldata.com/report/impact-of-covid-19-on-pharmaceutical-social-media-influencer-activity/
    Explore at:
    Dataset updated
    Jun 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    The highly contagious coronavirus (SARS-CoV-2), dubbed COVID-19 (formerly 2019-nCoV), which emerged at the close of 2019, has led to a medical emergency across the world, with the World Health Organization (WHO) officially declaring the novel coronavirus a pandemic on March 11, 2020. This report analyzes GlobalData’s social media Influencer dashboards to understand Influencer trends since the pandemic began and what key Influencers are discussing online about COVID-19. Read More

  3. f

    Data_Sheet_2_Prediction of COVID-19 Waves Using Social Media and Google...

    • frontiersin.figshare.com
    pdf
    Updated May 30, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Samira Yousefinaghani; Rozita Dara; Samira Mubareka; Shayan Sharif (2023). Data_Sheet_2_Prediction of COVID-19 Waves Using Social Media and Google Search: A Case Study of the US and Canada.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.656635.s002
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Samira Yousefinaghani; Rozita Dara; Samira Mubareka; Shayan Sharif
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada, United States
    Description

    The ongoing COVID-19 pandemic has posed a severe threat to public health worldwide. In this study, we aimed to evaluate several digital data streams as early warning signals of COVID-19 outbreaks in Canada, the US and their provinces and states. Two types of terms including symptoms and preventive measures were used to filter Twitter and Google Trends data. We visualized and correlated the trends for each source of data against confirmed cases for all provinces and states. Subsequently, we attempted to find anomalies in indicator time-series to understand the lag between the warning signals and real-word outbreak waves. For Canada, we were able to detect a maximum of 83% of initial waves 1 week earlier using Google searches on symptoms. We divided states in the US into two categories: category I if they experienced an initial wave and category II if the states have not experienced the initial wave of the outbreak. For the first category, we found that tweets related to symptoms showed the best prediction performance by predicting 100% of first waves about 2–6 days earlier than other data streams. We were able to only detect up to 6% of second waves in category I. On the other hand, 78% of second waves in states of category II were predictable 1–2 weeks in advance. In addition, we discovered that the most important symptoms in providing early warnings are fever and cough in the US. As the COVID-19 pandemic continues to spread around the world, the work presented here is an initial effort for future COVID-19 outbreaks.

  4. Mexico: most popular food delivery hashtags during COVID-19

    • statista.com
    Updated Mar 20, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mexico: most popular food delivery hashtags during COVID-19 [Dataset]. https://www.statista.com/statistics/1134181/most-mentioned-food-delivery-hashtags-social-media-coronavirus-mexico/
    Explore at:
    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 19, 2020 - Jun 17, 2020
    Area covered
    Mexico
    Description

    On March 30, 2020, the Mexican government declared the state of emergency following the coronavirus (COVID-19) outbreak in the country, calling for the immediate suspension of non-essential activities. With people staying home, the popularity of internet shopping became quickly evident, notably online purchases of consumer goods and food. This trend could be seen in social media, where hashtags related to food delivery took on particular force. The most used hashtag of this kind in the country was #rappi, which was mentioned over 22,000 times from May 19 to June 17, 2020.

  5. COVID-19 impact on online activity growth in India 2020

    • statista.com
    Updated Jun 9, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). COVID-19 impact on online activity growth in India 2020 [Dataset]. https://www.statista.com/statistics/1203702/india-covid-19-impact-on-activity-growth/
    Explore at:
    Dataset updated
    Jun 9, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 9, 2020 - Nov 20, 2020
    Area covered
    India
    Description

    In a November 2020 survey conducted on the impact of COVID-19 in India, most of the respondents recorded an increase in the use of omnichannel and videoconferencing activities ever since the start of the pandemic.

  6. d

    COVID-19 Pandemic Social Distancing Policies, Social Connection and Mental...

    • search.dataone.org
    • borealisdata.ca
    Updated Apr 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ross, Kharah (2024). COVID-19 Pandemic Social Distancing Policies, Social Connection and Mental Health [Dataset]. https://search.dataone.org/view/sha256%3Aaedfbdaf19a8e1ade6e3ec2452b960bb6663f1bfe21a4f394c33817d23b4cfb0
    Explore at:
    Dataset updated
    Apr 25, 2024
    Dataset provided by
    Borealis
    Authors
    Ross, Kharah
    Description

    COVID-19 is a highly contagious and novel virus that has prompted government officials to implement restrictive public health orders. It is hypothesized that pandemic-related restrictions may have a detrimental impact on mental health. Longitudinal data were collected through 13 assessments, repeated every two weeks for the initial six months of the COVID-19 pandemic. Participants were recruited through Athabasca University and social media . The final sample consisted of 280 adults from across Canada , with the majority of participants residing in Alberta (63%) and Ontario (20%) . Sociodemographic characteristics, COVID-19 related risk factors, pre-pandemic and pandemic physical activity, and COVID-19 related risk factors were collected at study entry, and mental health (depressive symptoms, anxiety, and loneliness) were collected at each assessment. Multi-level modelling was used to identify mental health trajectories during the initial six months of the pandemic. Mental health symptoms tracked with rising cases of infection and subsequent public health restrictions during the pandemic. Specifically, anxiety and depressive symptoms demonstrated strong longitudinal quadratic trends. Both anxiety and depressive symptoms were high at study entry (May 2020) and decreased over the summer, followed by an increase in the fall and winter months. Loneliness was stable over the follow-up period. Age, sex, living alone, socioeconomic factors, and pre-existing mental health conditions correlated with mental health symptoms during the pandemic's initial six months. This study characterizes within-person changes to mental health (anxiety, depressive symptoms, and loneliness) in a Canadian sample from May 2020 to January 2021 during the COVID-19 pandemic.

  7. New Sterilized Society - Coronavirus (COVID-19) Case Study

    • store.globaldata.com
    Updated Jun 30, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GlobalData UK Ltd. (2020). New Sterilized Society - Coronavirus (COVID-19) Case Study [Dataset]. https://store.globaldata.com/report/new-sterilized-society-coronavirus-covid-19-case-study/
    Explore at:
    Dataset updated
    Jun 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    This report analyzes the key shifts in consumers' fears about disease, infection, and hygiene during the COVID-19 crisis, and how it affects purchasing patterns. Following the outbreak of COVID-19, there has been an increased focus on hygiene, and the hygiene/health connection has never been more important. The global pandemic has brought the issue of viruses and contagion to the front of the consumer mind, while people are also spending more time at home. Hygiene-related engagement through social media and adaptation of existing processes are important to success within this trend during the pandemic. Read More

  8. The Global Trend brand market is Growing at Compound Annual Growth Rate...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Feb 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2024). The Global Trend brand market is Growing at Compound Annual Growth Rate (CAGR) of 5.6% from 2023 to 2030. [Dataset]. https://www.cognitivemarketresearch.com/trend-brand-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Feb 11, 2024
    Dataset provided by
    Decipher Market Research
    Authors
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, The Global Trend brand market size in 2023 was XX USD billion and will grow at a compound annual growth rate (CAGR) of 5.6% from 2023 to 2030.

    The demand for trend brands is rising due to economic factors, disposable income, supply chain efficiency, and competition and brand differentiation.
    Demand for below 22 L remains higher in the trend brand market.
    The residential segment held the highest trend brand market revenue share in 2023.
    North America will continue to lead, whereas the Asia Pacific trend brand market will experience the strongest growth until 2030.
    

    Changes in Consumer Tastes and Lifestyle Choices to Direct Market Growth

    The trend brand market is heavily influenced by basic forces such as changes in consumer tastes and lifestyle choices. These factors mostly determine the growth or collapse of the industry. Customer preferences are constantly changing due to a variety of causes, including socioeconomic trends, generational variations, and cultural developments. For trend brands to be relevant, they need to keep up with these changes.

    For example, Gen Z and Millennials are very interested in ethical and sustainable products. The increasing demand for environmentally friendly apparel has resulted in trend brands incorporating sustainable practices into their production procedures. Furthermore, the emergence of influencer culture and social media has expedited trends, necessitating swift brand adaptation in order to maintain competitiveness. The COVID-19 epidemic further modified consumer tastes. A noticeable trend toward loungewear and comfy clothing was observed as more people worked from home. Trending brands had to modify their lineups to satisfy the growing consumer desire for comfort without compromising style.

    Innovations in Technology to Indicate Market Growth
    

    Innovations in technology have a significant influence on the trend brand market. These developments affect many facets of the sector, including marketing plans and production procedures. The way trend brands create and manufacture their goods has changed dramatically as a result of the use of new production technologies like automation and 3D printing. Increased customization, accuracy, and quicker production cycles are all made possible by it. This lowers expenses while also allowing firms to provide distinctive, limited-edition products, appealing to consumers by giving them a sense of exclusivity.

    The emergence of digital platforms and e-commerce has revolutionized the way trend brands interact with their target customers in the marketing domain. In particular, social media is an effective tool for interacting with customers and promoting brands. Companies may use data analytics to improve their understanding of consumer behavior, target marketing campaigns, and enhance their product offers by using real-time feedback. The virtual reality (VR) and augmented reality (AR) technologies are also improving the online buying experience. Virtual try-on capabilities for apparel and accessories help customers feel more confident about their selections and alleviate some of the negative aspects of online buying.

    Market Dynamics of the Trend brand

    Variations in Consumer Spending to Hinder Market Growth
    

    Consumer spending is directly impacted during times of global financial crisis or economic recession. Consumer discretionary spending tends to fall during economic downturns, which can be detrimental to trend brands that depend on disposable money and consumer confidence. A spike in inflation can result in greater manufacturing costs, which are then frequently transferred to customers as higher pricing. Customers may become less able to afford items from trend brands as a result, which may cause them to be pickier about what they buy. Trend brands are susceptible to currency swings if they source materials or products from other countries. Variability in exchange rates can have an impact on manufacturing costs, which may lead to lower profit margins or the need to modify prices, both of which can have an impact on sales.

    Impact of COVID-19 on the Trend Brand Market

    The COVID-19 pandemic has significantly impacted the market for trend brands. Due to economic uncertainty, it first resulted in lower consumer spending, which affected industry sales. However, as more people started shopping online, e-commerce became more popular....

  9. d

    Replication Data for: Applying the Fogg Behavior Model to improve...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 23, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Meekers, Dominique; Onuoha, Chidinma; Olutola, Olaniyi (2023). Replication Data for: Applying the Fogg Behavior Model to improve contraceptive social marketing during the COVID-19 lockdown in Nigeria: a case study. [Dataset]. http://doi.org/10.7910/DVN/3UDL2M
    Explore at:
    Dataset updated
    Nov 23, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Meekers, Dominique; Onuoha, Chidinma; Olutola, Olaniyi
    Area covered
    Nigeria
    Description

    Policies to prevent the spread of COVID-19 such as lock-downs and other restrictions on movement have made it more difficult to access family planning and other reproductive health services. In Nigeria, DKT International, a social marketing organization that provides family planning information and services, adapted its social media campaign to facilitate continuity of access to family planning information and services during the COVID-19 lockdown. The dataset includes replication data for trends in organic reach of different types of Facebook posts that were used in direct response to the COVID-19 pandemic.

  10. TikTok usage among young people during COVID-19 in the Nordics 2020

    • statista.com
    Updated Jan 28, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TikTok usage among young people during COVID-19 in the Nordics 2020 [Dataset]. https://www.statista.com/statistics/1124951/tiktok-usage-among-young-people-during-covid-19-in-the-nordics/
    Explore at:
    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Sweden, Denmark, Finland, Norway, Nordic countries
    Description

    TikTok saw an unprecedented increase in popularity during the coronavirus (COVID-19) outbreak in the Nordic region. The largest increase, of up to 800 percent was observed among Danish youth. While two percent of them used TikTik before the COVID-19 outbreak, the corresponding share during the pandemic was 18 percent. Overall, TikTok became more popular in Denmark, Sweden, Norway and Finland during the pandemic, regardless of the users’ age.

    The rise of TikTok   

    TikTok is a Chinese video-sharing social network, initially released in 2018, as Musical.ly. Over the period from 2017 to 2020, the app generated increasingly larger engagement rates, reaching nearly 15 million daily active users via iOS as of May 2020 on a global scale. Among the most followed accounts in Norway were the pop duo Marcus & Martinus.

    COVID-19 on social media   

    As of March 2020, almost all the most popular hashtags on social media in Sweden were related to the coronavirus. In fact, a recent survey showed that especially younger individuals worldwide seemed to rely on social media for updates on the coronavirus that same month . In contrast, the figures were much lower for people aged 55 or older. Nevertheless, social media use generally increased during the pandemic and facilitated the spread of news regarding the coronavirus. In some cases, even false information.

  11. Data from: #Coronavirus on TikTok: User engagement with misinformation as a...

    • zenodo.org
    • datacatalog.hshsl.umaryland.edu
    • +3more
    bin, csv
    Updated Jan 18, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jonathan Baghdadi; Jonathan Baghdadi; K. C. Coffey; Rachael Belcher; James Frisbie; Naeemul Hassan; Danielle Sim; Rena D. Malik; K. C. Coffey; Rachael Belcher; James Frisbie; Naeemul Hassan; Danielle Sim; Rena D. Malik (2023). #Coronavirus on TikTok: User engagement with misinformation as a potential threat to public health behavior [Dataset]. http://doi.org/10.5061/dryad.bvq83bkdp
    Explore at:
    csv, binAvailable download formats
    Dataset updated
    Jan 18, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jonathan Baghdadi; Jonathan Baghdadi; K. C. Coffey; Rachael Belcher; James Frisbie; Naeemul Hassan; Danielle Sim; Rena D. Malik; K. C. Coffey; Rachael Belcher; James Frisbie; Naeemul Hassan; Danielle Sim; Rena D. Malik
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Background: COVID-related misinformation is prevalent online, including on social media. The purpose of this study was to explore factors associated with user engagement with COVID-related misinformation on the social media platform, TikTok.

    Methods: A sample of TikTok videos associated with the hashtag #coronavirus were downloaded on September 20, 2020. Misinformation was evaluated on a scale (low, medium, high) using a codebook developed by experts in infectious diseases. Multivariable modeling was used to evaluate factors associated with number of views and presence of user comments indicating intention to change behavior.

    Results: 166 TikTok videos were identified. Moderate misinformation was present in 36 (22%) videos, and high-level misinformation was present in 11 (7%). After controlling for characteristics and content, videos containing moderate misinformation were less likely to generate a user response indicating intended behavior change. By contrast, videos containing high-level misinformation were less likely to be viewed but demonstrated a non-significant trend towards higher engagement among viewers.

    Conclusions: COVID-related misinformation is less frequently viewed on TikTok but more likely to engage viewers. Public health authorities can combat misinformation on social media by posting content of their own.

  12. f

    Comparison of model performance metrics by calibrating the GLM, Richards and...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Amna Tariq; Tsira Chakhaia; Sushma Dahal; Alexander Ewing; Xinyi Hua; Sylvia K. Ofori; Olaseni Prince; Argita D. Salindri; Ayotomiwa Ezekiel Adeniyi; Juan M. Banda; Pavel Skums; Ruiyan Luo; Leidy Y. Lara-Díaz; Raimund Bürger; Isaac Chun-Hai Fung; Eunha Shim; Alexander Kirpich; Anuj Srivastava; Gerardo Chowell (2023). Comparison of model performance metrics by calibrating the GLM, Richards and the sub-epidemic model for 90 epidemic days (July 4, 2021 to October 1, 2021) at the national and regional level. [Dataset]. http://doi.org/10.1371/journal.pntd.0010228.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Amna Tariq; Tsira Chakhaia; Sushma Dahal; Alexander Ewing; Xinyi Hua; Sylvia K. Ofori; Olaseni Prince; Argita D. Salindri; Ayotomiwa Ezekiel Adeniyi; Juan M. Banda; Pavel Skums; Ruiyan Luo; Leidy Y. Lara-Díaz; Raimund Bürger; Isaac Chun-Hai Fung; Eunha Shim; Alexander Kirpich; Anuj Srivastava; Gerardo Chowell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Higher 95% PI coverage and lower RMSE, MAE, WIS and MIS represent better performance. Best performing model is given in bold with the superscript “a”.

  13. m

    Covid 19 Auswirkungen auf die digitale Marktgröße, Trends und Prognose

    • marketresearchintellect.com
    Updated Aug 23, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Intellect® | Market Analysis and Research Reports (2024). Covid 19 Auswirkungen auf die digitale Marktgröße, Trends und Prognose [Dataset]. https://www.marketresearchintellect.com/de/product/covid-19-impact-on-digital-market-size-forecast/
    Explore at:
    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Market Research Intellect® | Market Analysis and Research Reports
    License

    https://www.marketresearchintellect.com/de/privacy-policyhttps://www.marketresearchintellect.com/de/privacy-policy

    Area covered
    Global
    Description

    Die Marktgröße des Covid 19-Auswirkungens auf den digitalen Markt wird anhand der Anwendung (Desktop, Mobile) und des Produkts (Suchanzeigen, Anzeigen von Anzeigen, Social Media, E-Mail-Marketing) und geografischen Regionen (Nordamerika, Europa, Asien-Pazifik, Südamerika, Südamerika und Middle-Ost und Middle Ost und Afrika).

  14. m

    Covid 19 Impact On Cross Channel Communication Services Market Size, Trends...

    • marketresearchintellect.com
    Updated May 29, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Intellect® | Market Analysis and Research Reports (2021). Covid 19 Impact On Cross Channel Communication Services Market Size, Trends and Forecast [Dataset]. https://www.marketresearchintellect.com/product/covid-19-impact-on-cross-channel-communication-services-market-size-forecast/
    Explore at:
    Dataset updated
    May 29, 2021
    Dataset authored and provided by
    Market Research Intellect® | Market Analysis and Research Reports
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    The market size of the Covid 19 Impact On Cross Channel Communication Services Market is categorized based on Application (Voice, Email, Social Media, Video Meetings) and Product (Wired Channel, Wireless Channel) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

    This report provides insights into the market size and forecasts the value of the market, expressed in USD million, across these defined segments.

  15. The global Social Discovery Software market size will be USD 2514.2 million...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Oct 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2024). The global Social Discovery Software market size will be USD 2514.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/social-discovery-software-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 21, 2024
    Dataset provided by
    Decipher Market Research
    Authors
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Social Discovery Software market size will be USD 2514.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 17.20% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 1005.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.4% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 754.26 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 578.27 million in 2024 and will grow at a compound annual growth rate (CAGR) of 19.2% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 125.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.6% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 50.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.9% from 2024 to 2031.
    In the Social Discovery Software Market, the Web-based segment is the fastest growing
    

    Market Dynamics of Social Discovery Software Market

    Key Drivers for Social Discovery Software Market

    Rising Social Networking and Digital Engagement

    Rising social networking and digital engagement are considered a strong growth drivers for the Social Discovery Software market. With more people switching to online platforms as a means of communication, entertainment, and interaction, the social discovery software became in higher demand. This trend is most prevalent amongst younger age groups that actively seek to enlarge their social networks as well as engage with the diverse communities. Digital offerings of smartphones and internet accessibility facilitate ease of connectivity and the sharing of experiences digitally. Furthermore, online events, dating apps, and community forums further fuel the popularity of social discovery software, which is a growing interest for it enhances user engagement and also leads to innovation for companies in terms of expansion. For instance, In 2022, X1 reported a 35% increase in user engagement as a result of improved social discovery capabilities that allow users to connect with relevant material more efficiently

    Personalization and User Experience

    Personalization and user experience are leading drivers in growth in the Social Discovery Software market. Consumers increasingly want experiences that are unique to their individuality and preferences. Advanced algorithms and machine learning will enable platforms to examine users' behavior, providing more tailored content, recommendations, and connectivity. It thereby enhances the user experience, encourages more engagement, and boosts user satisfaction so that they spend more time on these sites. With greater user-friendliness and intuitive discovery tools, social is less intimidating and more attractive to new online networkers, personalization is a method of enhancing user loyalty and word-of-mouth referrals, contributing also to market growth.

    Restraint Factor for the Social Discovery Software Market

    Privacy and Data Security Concerns

    Privacy and data security issues are a hindrance to the massive development of the Social Discovery Software market. People realize how their personal information is collected, and their understanding puts them at a distance from applications that do not take data protection seriously. Hacking incidences and other similar scandals have made users wary and push for privacy-oriented alternatives. Besides that, regulatory requirement like GDPR creates compliance costs and operational woes for these companies operating in this space. The associated costs as well as operational challenges do form a challenge to user acquisition and retention hence limiting the market expansion and innovation potential.

    Impact of Covid-19 on the Social Discovery Software Market

    The Covid-19 pandemic has greatly affected the Social Discovery Software Market, since it hastened the momentum through digital interactions and online communities. In lockdowns and social distancing, more people utilized social discovery to connect, engage, and even build relationships through virtual means. An increase in demand encourages software vendors to enh...

  16. Power Tools Market in US by Technology and End-user - Forecast and Analysis...

    • technavio.com
    Updated Jun 15, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Power Tools Market in US by Technology and End-user - Forecast and Analysis 2021-2025 [Dataset]. https://www.technavio.com/report/power-tools-market-size-in-us-industry-analysis
    Explore at:
    Dataset updated
    Jun 15, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    USA
    Description

    Snapshot img

    According to our research report, the Power Tools Market in the US will witness a CAGR of 3.33% which is expected to increase by USD 1.63 billion for the forecast period 2020 to 2025.

    This market research report provides valuable insights into the post-COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by technology (electric, pneumatic, and others) and end-user (professional and consumer). The power tools market in the US report also offers information on several market vendors, including ANDREAS STIHL AG & Co. KG, Apex Tool Group LLC, Emerson Electric Co., Illinois Tool Works Inc., Ingersoll Rand Inc., Makita Corp., Robert Bosch GmbH, Snap-on Inc., Stanley Black & Decker Inc., and Techtronic Industries Co. Ltd. among others.

    What will the Power Tools Market Size in US be During the Forecast Period?

    Download the Report Sample to Unlock the Power Tools Market Size in US for the Forecast Period and Other Important Statistics

    Parent Market Analysis

    The power tools market in US is a part of the global electrical components and equipment market. The global electrical components and equipment market was valued at USD 1,941.23 billion in 2020. Our Technavio Research categorizes the global market belonging to the Electrical Equipment industry. Our research report has extensively covered external factors influencing the parent market growth potential in the coming years, which will determine the levels of growth of the market during the forecast period.

    Power Tools Market in US: Key Drivers, Trends, and Challenges

    Based on our research output, there has been a negative impact on the market growth during and post-COVID-19 era. The growing demand for power tools for DIY projects in the US is notably driving the power tools market growth in the US, although factors such as may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the power tools industry in US. The holistic analysis of the drivers will help deduce end goals and refine marketing strategies to gain a competitive edge.

    Key Power Tools Market Driver in US

    One of the key factors driving growth in the market is the growing demand for power tools for DIY projects in US. DIY projects refer to activities in which individuals such as hobbyists, residents, amateurs, or enthusiasts engage themselves in modifying, upgrading, maintaining, and rebuilding their material possessions such as household appliances, automobiles, residences, and bicycles. DIY projects are performed using raw or semi-finished raw materials, suitable tools, and equipment with little or no assistance from professionals. Home improvement projects constitute the majority of DIY projects. Some home improvement projects include replacing a shower faucet or refinishing the basement and attic. Home improvement projects include activities such as woodworking; plumbing; landscaping; and heating, ventilation, and air-conditioning (HVAC) utility repair works. A home is usually a life-long asset, and the demand for DIY tools, including power tools, for home improvement projects is growing in the US, as the large and affluent middle class in the US increasingly demands a better home space to ensure an improved standard of living. Moreover, with the spread of social media channels, more people are getting engaged in DIY projects to demonstrate their creative skills. Also, before hiring a working professional or labour, brainstorming has become a part of life, calculating the cost of professional plumbers, electricians, and mechanics. Such factors will positively impact the growth of the power tools market.

    Key Power Tools Market Challenge in US

    The risk of rising interest rates will be a major challenge for the market during the forecast period. The interest rates in the US have been rising since 2015. The US Federal Reserve increased the benchmark rates by approximately eight times in September 2018. A rising interest rate discourages borrowing by businesses and individuals and encourages savings. As a result of the rising benchmark rates in the US, the 30-year fixed rate mortgage in the US has increased by 25% between October 2017 and October 2018. This may lead to a reduction in the number of new home loan applications in the US in the forecast timeframe. Apart from this, a lean inventory of existing residences and the rising cost of construction have increased the prices of the existing residences. This is leading to a decline in the sales of the existing residences. The sale of existing residences is an important demand driver for power tools in the US as new owners invest in the modification and beautification of the acquired residence. The benchmark rates in the US are expected to rise further in 2019 due to the stron

  17. Coronavirus impact on digitalization in media companies worldwide 2020

    • statista.com
    Updated Jul 16, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2021). Coronavirus impact on digitalization in media companies worldwide 2020 [Dataset]. https://www.statista.com/statistics/1249525/digitalization-as-a-result-of-covid-worldwide/
    Explore at:
    Dataset updated
    Jul 16, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 29, 2020 - Dec 31, 2020
    Area covered
    World
    Description

    Around three quarters of leading digital executives in media and news companies from around the world reported that plans for digital change have been accelerated as a result of COVID-19. A report looking at trends in journalism and media in 2021 found that only 21 percent of those surveyed stated that coronavirus had no effect on their company's digital plans.

  18. Estimates of reproduction number (R), growth rate parameter (r) and...

    • plos.figshare.com
    xls
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Amna Tariq; Tsira Chakhaia; Sushma Dahal; Alexander Ewing; Xinyi Hua; Sylvia K. Ofori; Olaseni Prince; Argita D. Salindri; Ayotomiwa Ezekiel Adeniyi; Juan M. Banda; Pavel Skums; Ruiyan Luo; Leidy Y. Lara-Díaz; Raimund Bürger; Isaac Chun-Hai Fung; Eunha Shim; Alexander Kirpich; Anuj Srivastava; Gerardo Chowell (2023). Estimates of reproduction number (R), growth rate parameter (r) and deceleration of the growth parameter (p) obtained from the renewal equation method utilizing the GGM for the early ascending phase of the epidemic (30 days) at the national and regional level at α = 1.00. [Dataset]. http://doi.org/10.1371/journal.pntd.0010228.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Amna Tariq; Tsira Chakhaia; Sushma Dahal; Alexander Ewing; Xinyi Hua; Sylvia K. Ofori; Olaseni Prince; Argita D. Salindri; Ayotomiwa Ezekiel Adeniyi; Juan M. Banda; Pavel Skums; Ruiyan Luo; Leidy Y. Lara-Díaz; Raimund Bürger; Isaac Chun-Hai Fung; Eunha Shim; Alexander Kirpich; Anuj Srivastava; Gerardo Chowell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Estimates of reproduction number (R), growth rate parameter (r) and deceleration of the growth parameter (p) obtained from the renewal equation method utilizing the GGM for the early ascending phase of the epidemic (30 days) at the national and regional level at α = 1.00.

  19. COVID19 Tweets

    • kaggle.com
    zip
    Updated Jul 31, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gabriel Preda (2020). COVID19 Tweets [Dataset]. https://www.kaggle.com/gpreda/covid19-tweets
    Explore at:
    zip(8506240 bytes)Available download formats
    Dataset updated
    Jul 31, 2020
    Authors
    Gabriel Preda
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    These tweets are collected using Twitter API and a Python script. A query for this high-frequency hashtag (#covid19) is run on a daily basis for a certain time period, to collect a larger number of tweets samples.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F769452%2F35db2dd68238bfd958efdabebc9fef8f%2Fcovid-19-4961257_1280-e1586986896105.jpg?generation=1595760042647275&alt=media" width="600">

    The collection script can be found here: https://github.com/gabrielpreda/covid-19-tweets

    Content

    The tweets have #covid19 hashtag. Collection started on 25/7/2020, with an initial 17k batch and will continue on a daily basis.

    Inspiration

    You can use this data to dive into the subjects that use this hashtag, look to the geographical distribution, evaluate sentiments, looks to trends.

  20. B

    Data from: The State of Social Media in Canada 2022

    • borealisdata.ca
    Updated Sep 14, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Philip Mai; Anatoliy Gruzd (2022). The State of Social Media in Canada 2022 [Dataset]. http://doi.org/10.5683/SP3/BDFE7S
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    Borealis
    Authors
    Philip Mai; Anatoliy Gruzd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    The report provides a snapshot of the social media usage trends amongst online Canadian adults based on an online survey of 1500 participants. Canada continues to be one of the most connected countries in the world. An overwhelming majority of online Canadian adults (94%) have an account on at least one social media platform. However, the 2022 survey results show that the COVID-19 pandemic has ushered in some changes in how and where Canadians are spending their time on social media. Dominant platforms such as Facebook, messaging apps and YouTube are still on top but are losing ground to newer platforms such as TikTok and more niche platforms such as Reddit and Twitch.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Samira Yousefinaghani; Rozita Dara; Samira Mubareka; Shayan Sharif (2023). Data_Sheet_1_Prediction of COVID-19 Waves Using Social Media and Google Search: A Case Study of the US and Canada.ZIP [Dataset]. http://doi.org/10.3389/fpubh.2021.656635.s001

Data_Sheet_1_Prediction of COVID-19 Waves Using Social Media and Google Search: A Case Study of the US and Canada.ZIP

Related Article
Explore at:
zipAvailable download formats
Dataset updated
May 30, 2023
Dataset provided by
Frontiers
Authors
Samira Yousefinaghani; Rozita Dara; Samira Mubareka; Shayan Sharif
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Canada, United States
Description

The ongoing COVID-19 pandemic has posed a severe threat to public health worldwide. In this study, we aimed to evaluate several digital data streams as early warning signals of COVID-19 outbreaks in Canada, the US and their provinces and states. Two types of terms including symptoms and preventive measures were used to filter Twitter and Google Trends data. We visualized and correlated the trends for each source of data against confirmed cases for all provinces and states. Subsequently, we attempted to find anomalies in indicator time-series to understand the lag between the warning signals and real-word outbreak waves. For Canada, we were able to detect a maximum of 83% of initial waves 1 week earlier using Google searches on symptoms. We divided states in the US into two categories: category I if they experienced an initial wave and category II if the states have not experienced the initial wave of the outbreak. For the first category, we found that tweets related to symptoms showed the best prediction performance by predicting 100% of first waves about 2–6 days earlier than other data streams. We were able to only detect up to 6% of second waves in category I. On the other hand, 78% of second waves in states of category II were predictable 1–2 weeks in advance. In addition, we discovered that the most important symptoms in providing early warnings are fever and cough in the US. As the COVID-19 pandemic continues to spread around the world, the work presented here is an initial effort for future COVID-19 outbreaks.

Search
Clear search
Close search
Google apps
Main menu