The number of WhatsApp users in Europe was forecast to continuously increase between 2024 and 2029 by in total 2.6 million users (+2.17 percent). After the ninth consecutive increasing year, the WhatsApp user base is estimated to reach 122.38 million users and therefore a new peak in 2029. Notably, the number of WhatsApp users of was continuously increasing over the past years.User figures, shown here regarding the platform whatsapp, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of WhatsApp users in countries like Africa and South America.

The number of WhatsApp users in North America was forecast to continuously increase between 2024 and 2029 by in total 7.6 million users (+4.97 percent). After the ninth consecutive increasing year, the WhatsApp user base is estimated to reach 160.51 million users and therefore a new peak in 2029. Notably, the number of WhatsApp users of was continuously increasing over the past years.User figures, shown here regarding the platform whatsapp, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of WhatsApp users in countries like Worldwide and Africa.

The global number of KakaoTalk users in was forecast to decrease between 2024 and 2028 by in total 0.7 million users. This overall decrease does not happen continuously, notably not in 2026 and 2027. The KakaoTalk user base is estimated to amount to 48.7 million users in 2028. Notably, the number of KakaoTalk users of was continuously increasing over the past years.User figures, here concerning the platform kakaoTalk, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

This is a large-scale dataset collected from WhatsApp public groups. It has been created from 178 public groups containing around 45K users and 454K messages. This dataset allows researchers to ask questions like (i) Are WhatsApp groups a broadcast, multicast or unicast medium? (ii) How interactive are users, and how do these interactions emerge over time? (iii) What geographical span do WhatsApp groups have, and how does geographical placement impact interaction dynamics? (iv) What role does multimedia content play in WhatsApp groups, and how do users form interaction around multimedia content? (v) What is the potential of WhatsApp data in answering further social science questions, particularly in relation to bias and representability?

Context

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2F7394017546a1babbdf7394aa61da2e80%2Fwhatsapp2.png?generation=1700227405061793&alt=media" alt="">

Based on their wikipedia page

WhatsApp (officially WhatsApp Messenger) is a freeware, cross-platform, centralized instant messaging (IM) and voice-over-IP (VoIP) service owned by United States tech conglomerate Meta Platforms. It allows users to send text, voice messages and video messages, make voice and video calls, and share images, documents, user locations, and other content. WhatsApp's client application runs on mobile devices, and can be accessed from computers.The service requires a cellular mobile telephone number to sign up. In January 2018, WhatsApp released a standalone business app called WhatsApp Business which can communicate with the standard WhatsApp client.

These reviews were extracted from Google Store.

Usage

This dataset should paint a good picture on what is the public's perception of the app over the years. Using this dataset, we can do the following

1. Extract sentiments and trends
2. Identify which version of the app had the most positive feedback, the worst.
3. Use topic modeling to identify the pain points of the application.

(AND MANY MORE!)

Note

Images generated using Bing Image Generator

In 2021, WhatsApp's user base in India amounts to approximately 493.31 million users. The number of WhatsApp users in India is projected to reach 795.67 million users by 2025. User figures have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

High Frequency Indicator: The dataset contains year- and month-wise compiled data from the year 2021 to till date on the number of different types of grievances (complaints) received from the users by WhatsApp and the action taken by it. The data compiled is based on the monthly transparency reports published by WhatsApp in accordance with Rule 4(1)(d) of the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (IT Rules, 2021).

The types of grievances received include Account Support, Safety, Ban Appeal, Other Support and Product Support. The action taken includes the accounts actioned on the basis of grievances received.

Notes:

1. ‘Accounts Actioned’ denotes reports where WhatsApp took remedial action based on the report. Taking action denotes either banning an account or a previously banned account being restored as a result of the complaint.
2. ‘Other’ support pertains to requests which are not consistently classifiable
3. ‘N/A’ denotes grievance topics where it’s generally not applicable to action an account. In some rare cases, tickets may be later reassigned to another topic, and an action could arise from the re-assignment.

In 2021, WhatsApp's user base in Russia amounts to approximately 84.70 million users. The number of WhatsApp users in Russia is projected to reach 83.89 million users by 2025. User figures have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

The What's New, Switzerland? Corpus is a dataset of 72 authentic WhatsApp chats between 118 French-speaking users in Switzerland, collected in the framework of the "Evolving Language" NCCR. Chats were donated by users between August and October 2022. The data have been de-identified using a partly automated and partly manual workflow. Each chat is provided in two versions: an XML-TEI version (which includes extensive metadata about chats, users, and messages) and a plain text version. The dataset is available on demand for research purposes, under a restricted license contract.

This dataset demonstrates the fear of Coronavirus (COVID-19) among the people of Khyber Pakhtunkhwa (Pakistan), their preventive behaviour, mental health condition, and level of anxiety during the pandemic. To gauge these constructs, a questionnaire was developed with the help of various scales – Fear of COVID-19 Scale (FCV-19S), Positive Mental Health Scale (PMHS), and General Anxiety Disorder Scale (GAD). At the time of data collection, the COVID-19 cases were emerging rapidly in the country due to which the KPK province was also facing lock-down and other mobility restrictions to limit the spread of viral infection. Keeping in view the prevalent emergency conditions, the research tool was developed in Google form and disseminated online for the collection of data. The informed consent of the respondents was obtained electronically, and they participated voluntarily in this survey research. Social media apps like Facebook, WhatsApp, LinkedIn, and personal contacts were also used for speedy collection of data. All the questions in the questionnaire were mandatory and the respondents could not send their responses by skipping any of them, so there is no missing value in the dataset. A total of 501 responses were received out of which 208 were females. For the convenience of the participants, every question in the questionnaire was translated into the Urdu language. All the responses were automatically saved online into a .xlsx spreadsheet and later that data was converted to digitized form by developing a coding frame. There are two main sections in this dataset, first is about the socio-demographic information (gender, age, marital status, employment status, area of residence and education) of the participants and the second demonstrates the fear, mental health, preventive behaviour, and anxiety while in the second section, the responses were rated on Likert scale. This dataset could be beneficial to the researchers and policymakers as they can get further insight to develop better skills and practices from a rapidly evolving situation.

Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality headsets, and wearables worldwide. It operates in two segments, Family of Apps and Reality Labs. The Family of Apps segment offers Facebook, which enables people to share, discuss, discover, and connect with interests; Instagram, a community for sharing photos, videos, and private messages, as well as feed, stories, reels, video, live, and shops; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact privately. The Reality Labs segment provides augmented and virtual reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California

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The number of WhatsApp users in Indonesia was forecast to continuously increase between 2024 and 2029 by in total 7.3 million users (+5.83 percent). After the ninth consecutive increasing year, the WhatsApp user base is estimated to reach 132.49 million users and therefore a new peak in 2029. Notably, the number of WhatsApp users of was continuously increasing over the past years.User figures, shown here regarding the platform whatsapp, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of WhatsApp users in countries like Vietnam and Malaysia.

Cameroon Pidgin English is widely spoken in Cameroon. Some people even have it as a mother tongue. Cameroon Pidgin English is informally used among family, friends, clients and also in some churches. Cameroon Pidgin English is not only spoken but also written. We find this written version in WhatsApp chats, sms', billboards and christian literature. The researcher noticed that in all these avenues, the orthography versions of Cameroon Pidgin English are many. Some versions have English language orthography, others have an orthography similar to our Cameroon languages, others are spelt exactly the way they are pronounced. Examples are as follows: "God he go join all people for all country, and he go give them peace for God he king - country." (Extract from a Catholic Sunday Missal). In this version, the orthography is mostly English. Consider another example from a WhatsApp group chat: "I see as e di progress and e b di still type na e weh I say make I wait. But e b like sey e don land. "In another, "A hear say torning coco go dey for Sunday. "These differences in orthography are of interest to the researcher. Data were collected from WhatsApp group chats, sms', billboards, christian literature and random translations from some individuals. This study attempts to describe the differences in orthography and raise an awareness of a need for a unified code system for Cameroon Pidgin English. It is true that developing some Cameroonian native languages will help preserve the languages. It is also true that upgrading the use of the English language will solve some language problems, given the decline of the English language in the country (Abang E. (2020)). However, it should be noted that Cameroon Pidgin English has become the mother tongue of many Cameroonians. Cameroon Pidgin English is used by many Cameroonians and has the structure and some vocabulary of some Cameroonian native languages. Therefore practically, Cameroonians identify more with their Pidgin English than with the standard English language. It is with this argument that this study justifies its preeminence over the study of the English language.

High Frequency Indicator: The dataset contains year and month-wise data from the year 2021 to till date on the different types of actions taken by by significant social media intermediaries (SSMIs) such as Sharechat, Snapchat, Twitter, Koo, Facebook, Instagram, Google and WhatsApp. The data compiled is based on the monthly transparency reports published by SSMIs in accordance with Rule 4(1)(d) of the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (IT Rules, 2021)

The different types of action taken include Content actioning (removal), Account Removal Actions as a result of automated detection, Reporting spam, Blocking, Proactive ban, etc. on the different reasons such as harrassment, Child Endangerment with Nudity, Sexual Exploitation and Physical Abuse, Dangerous Organizations and Individuals with Organized Hate and Terrorism and its Propaganda, Hate Speech, Drugs and Firearms, etc.

Notes:

1. Twitter: “Proactive Monitoring” refers to content proactively identified by employing internal proprietary tools and industry hash sharing initiatives.
   1. Google: For data related to automated detection processes, Google includes data where the sender or creator of the content is located in India. In order to attribute a location to an individual sender or creator, Google use data signals such as location of account creation, IP address at the time of video upload and user phone number, as available.
   2. Meta: Proactive Rates- This metric shows the percentage of all content or accounts acted on that Meta found and flagged before users reported them to Meta. These metrics are the best estimates of content Meta act on and of proactive rates based on the creator of the content and predicted country locations for those users.
2. ShareChat: The accounts are proactively banned on the basis of Copyright violations, Sexually explicit, UGC- violation of community standards, Chatrooms and Comments.

Arboviral diseases remain a significant health concern worldwide, with over half the world’s population at risk for dengue alone. Without a vaccine or targeted treatment, the most effective strategy of prevention is vector management with community involvement. mHealth interventions, like WhatsApp, offer promising results for engaging communities and promoting healthier behaviors. This study explores the feasibility of integrating WhatsApp in vector control activities to improve arbovirus prevention in Colombia. A mixed-methods approach was employed to assess the WhatsApp-based intervention. WhatsApp messages were sent to 45 community women for 5 weeks to increase their knowledge and practices about dengue, Zika, and chikungunya. Pre-and-post surveys and focus group discussions were conducted in community settings to measure the feasibility and acceptability of this intervention. Chat reviews were done to assess the usability of users. A total of 1566 messages were exchanged in 45 WhatsApp chats. High acceptance and good usability (82% of users used the app for replying) were reported in this study. WhatsApp messages were perceived as short, clear, and enjoyable. Users liked the frequency, and design of messages. Pre- and post-surveys demonstrated improvements in the knowledge and practices of arboviral diseases. The intention to apply this knowledge in practice was reflected in a significant improvement, particularly in cleaning the laundry tank once a week (pre 62.1% to post 89.6%, p 

The number of WhatsApp users in South Africa was forecast to continuously increase between 2024 and 2029 by in total 3.6 million users (+19.63 percent). After the ninth consecutive increasing year, the WhatsApp user base is estimated to reach 21.92 million users and therefore a new peak in 2029. Notably, the number of WhatsApp users of was continuously increasing over the past years.User figures, shown here regarding the platform whatsapp, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

The number of WhatsApp users in Brazil was forecast to continuously increase between 2024 and 2029 by in total two million users (+1.35 percent). After the ninth consecutive increasing year, the WhatsApp user base is estimated to reach 149.71 million users and therefore a new peak in 2029. Notably, the number of WhatsApp users of was continuously increasing over the past years.User figures, shown here regarding the platform whatsapp, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

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This statistic shows a ranking of the estimated number of Whatsapp users in 2020 in Africa, differentiated by country. The user numbers have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).