The number of social media users in Australia was forecast to continuously increase between 2024 and 2029 by in total *** million users (+**** percent). After the ninth consecutive increasing year, the social media user base is estimated to reach ***** million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.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 *** 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 social media users in countries like Fiji and New Zealand.

The number of Facebook users in Australia was forecast to continuously decrease between 2024 and 2028 by in total 1.5 million users (-9.94 percent). After the eighth consecutive decreasing year, the Facebook user base is estimated to reach 13.62 million users and therefore a new minimum in 2028. User figures, shown here regarding the platform facebook, 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).Find more key insights for the number of Facebook users in countries like Fiji and New Zealand.

The number of Instagram users in Australia was forecast to continuously decrease between 2024 and 2028 by in total 1.5 million users (-13.94 percent). According to this forecast, in 2028, the Instagram user base will have decreased for the sixth consecutive year to 9.27 million users. User figures, shown here with regards to the platform instagram, 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).Find more key insights for the number of Instagram users in countries like New Zealand and Fiji.

Universities are now observed using social media communications channels for a variety of purposes, including marketing, student recruitment, student support and alumni communication. This paper presents an investigation into the use of the Twitter social media platform by universities in Australia, using publicly available Twitter data over a two year period. A social media network visualisation method is developed to make visible the interactions between a university and its stakeholders in the Twitter environment. This analysis method provides insights into the differing ways Australian universities are active on Twitter, and how universities might more effectively use the platform to achieve their individual objectives for institutional social media communications.

The number of LinkedIn users in Australia was forecast to continuously increase between 2024 and 2028 by in total 0.5 million users (+3.74 percent). After the ninth consecutive increasing year, the LinkedIn user base is estimated to reach 13.89 million users and therefore a new peak in 2028. Notably, the number of LinkedIn users of was continuously increasing over the past years.User figures, shown here with regards to the platform LinkedIn, 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).Find more key insights for the number of LinkedIn users in countries like Fiji and New Zealand.

This dataset contains simulated data for social media users' demographics, behaviors, and perceptions related to political content. It includes features such as age, gender, education level, occupation, social media usage frequency, exposure to political content, and perceptions of accuracy and relevance.

the features included in the "Social Media Political Content Analysis Dataset":

1. Age: Age of the user.
2. Gender: Gender identity of the user.
3. Education Level: Highest level of education attained by the user.
4. Occupation: Current occupation of the user.
5. Political Affiliation: Political leaning or affiliation of the user (e.g., Liberal, Conservative, Independent).
6. Geographic Location: Country or region where the user is located (e.g., USA, UK, Canada, Australia).
7. Social Media Usage Frequency: Frequency of social media usage by the user (e.g., 0-1 hour, 1-2 hours, 2-4 hours, 4+ hours).
8. Preferred Social Media: Social media platform preferred by the user (e.g., Facebook, Twitter, Instagram).
9. Political Content Exposure: Frequency of exposure to political content on social media (e.g., Once a day, Few times a week, Rarely, Several times a day).
10. Types of Political Content: Types of political content consumed by the user (e.g., News articles, Opinion pieces, Memes).
11. Sources of Political Content: Sources from which the user obtains political content (e.g., Mainstream media, Political parties, Independent bloggers).
12. Recency of Exposure: Recency of the user's exposure to political content (e.g., Within the last hour, Within the last 24 hours, Within the last week, Longer than a week ago).
13. Interactions Frequency: Frequency of user interactions with political content on social media (e.g., Once a day, Few times a week, Rarely, Several times a day).
14. Political Content Topics: Topics of political content that interest the user (e.g., Economy, Healthcare, Immigration, Environment).
15. Perception of Accuracy: User's perception of the accuracy of political content on social media (e.g., Very accurate, Somewhat accurate, Not accurate).
16. Awareness of Algorithms: Whether the user is aware of algorithms that determine their social media feed (e.g., Yes, No).
17. Perception of Relevance: User's perception of the relevance of political content on social media (e.g., Very relevant, Somewhat relevant, Not relevant).
18. Personal Impact: User's perception of the personal impact of political content on social media (e.g., Strong impact, Moderate impact, No impact).
19. Trust in Social Media: User's level of trust in social media as a source of political information (e.g., Trust a lot, Trust somewhat, Do not trust).
20. Concerns about Algorithms: User's level of concern about algorithms shaping their social media experience (e.g., Very concerned, Somewhat concerned, Not concerned).
21. Overall Quality of Discourse: User's perception of the overall quality of political discourse on social media (e.g., High quality, Moderate quality, Low quality).
22. Views on Influence: User's perception of the influence of political content on social media (e.g., Very influential, Somewhat influential, Not influential).
23. Suggestions for Improvement: User's suggestions for improving the quality or experience of political content on social media (e.g., Increase transparency, Provide more diverse sources, Improve fact-checking, Enhance user controls).

The number of Youtube users in Australia was forecast to continuously increase between 2024 and 2029 by in total 0.4 million users (+2.6 percent). After the fifth consecutive increasing year, the Youtube user base is estimated to reach 15.81 million users and therefore a new peak in 2029. User figures, shown here regarding the platform youtube, 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 Youtube users in countries like Fiji and New Zealand.

The number of snapchat users in Australia was forecast to continuously increase between 2024 and 2028 by in total 0.3 million users (+4.02 percent). After the ninth consecutive increasing year, the snapchat user base is estimated to reach 7.74 million users and therefore a new peak in 2028. Notably, the number of snapchat users of was continuously increasing over the past years.The user numbers, depicted here regarding the platform Snapchat, 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).

Data collected on persons considered a long-term missing person (LTMP) as at 19 May 2020. Persons included were listed as LTMP on National Missing Persons Coordination Centre (NMPCC) and Australian Missing Person Register (AMPR) websites on 19 May 2020. Searches were carried out using the LTMP’s name including variations and/or alternate names used or reported as used by that individual. This data was collected to determine if publicly available data could be gathered for the purposes of creating a dataset. This dataset was analysed to establish if such a dataset could be compared to results from existing studies and if so where those results similar or different. Having such a dataset created from publicly available data provided an additional avenue for datasets as opposed to relying only on stakeholder's information. Data was collected from Coroner's reports, law enforcement media releases (including archived) NMPCC and/or AMPR, Trove – online library of current and historical information obtained from universities, museums, galleries, and archives, crime stoppers, ancestry records, cemetery records/images, news/media reports, social network/media platforms i.e., LinkedIn, Facebook, and random ad hoc websites/pages.

Software/equipment used to create/collect the data: Equipment Computer: DELL, System Name R6SR05D, Processor Intel(R) Core(TM) i5-6300U CPU @ 2.40 GHz, 16.0 GB RAM, Windows 10 Pro installed.

Software/equipment used to manipulate/analyse the data: Software: Excel Microsoft 365 (Version 2308)

This is the repository concerning the interview connected to the above study, 12 interviews carried out with censored, marginalised content creators in the UK, Ireland, Italy, Australia and the USA.The linked study delves into communications dynamics between social media platforms and users as they negotiate the complexities of governance policies. Using Meta and TikTok as case studies, we reveal that gaslighting - traditionally associated with relationship abuse where one partner undermines the validity of the other's experience - is a pervasive platforms’ communications strategy, manifesting in numerous instances where automated and human platform communications have directly contradicted users' experiences, evidence, and research. We analyse 36 diverse interview datasets and six public platform responses to governance issues, highlighting the systemic nature of this phenomenon within digital spaces. We therefore broaden the scholarly understanding of platform gaslighting by delving beyond shadowbanning and the isolated platform-to-user dialogue to explore a wider range of communications concerning governance. Our participants’ experiences show that gaslighting can be used to highlight corporate power imbalances in platform-user interactions, especially in situations of opaque governance following not just shadowbanning, but also de-platforming on the back of malicious flagging. Our dataset draws from seemingly disparate groups who share moderation experiences: Jewish creators engaged in combating antisemitism, Palestinian creators advocating for human rights, and sex-positive creators, whose expertise and stories are dismissed and belittled by platforms as a form of damage control in the face of adverse governance. We demonstrate how the dismissal or minimization of participants’ traumatic experiences by platforms' automated processes and human teams is weaponized to inflict epistemic injustice, consolidate power, and evade accountability

The Australasian Heritage Software project is a publicly-compiled and accessible database documenting Australian and New Zealand software history. The field of software history is enormous and largely undocumented. Few repositories of software or documentation exist. This project aims to collect documentation from the public - and, where feasible, source code - in order to create a picture of the software written locally, and to present this online.Why are you doing this?Currently, there is no central repository of information about software written or published locally. Software does not easily fit into the collecting schema or taxonomies of many institutions. As such, it is generally individuals and various online communities who hold the knowledge about local software history. We want to provide a repository for this knowledge to be centrally collected, and will make this openly accessible so that it can be used for public good purposes.Software history is a notoriously underdeveloped field, with many histories tending to chart only particular genres, or remembering just the commercial success stories and flops. Most of what makes it into history books are stories from the UK, US and parts of Asia. Australia and New Zealand have their own computer and software histories, of course, but it is difficult to write local software histories without comprehensive records. We are keen to see these stories recorded and told more often, and the products of local innovation documented and hopefully preserved. Making informed judgements about what is historically significant and what ought to be kept requires knowing what software existed in a particular period.Given the lack of existing centralised records of locally developed software, we are throwing the net wide and asking people to enter information on local software from any historical period, from the birth of digital computing to the present day.Time period: The Digital Computer EraLocations:- Australia- New Zealand

BackgroundWomen’s physical activity levels decline during their transition to parenthood. Facebook is widely used by Australian mothers and provides the opportunity to target social networks in order to maintain and increase physical activity.MethodThis mixed method study aimed to pilot and assess the usability of the Mums Step It Up Facebook app, a new team-based physical activity intervention for mothers with young children. A purposive sample of five “Captain” women with young children, were recruited through personal contacts. These women used the app to recruit 3–7 Facebook friends (with children under 5) to join their respective teams (total n = 25). The app encourages women to take 10,000 steps a day measured by a pedometer. Women used the app for 28 days to log steps, interact with team mates and monitor progress. Physical activity was assessed at two time points (baseline and final week) using the Active Australia Survey. Usability testing with the five “Captain” women took place over two one hour face-to-face sessions. A questionnaire seeking feedback on the app was completed at time point two.ResultsParticipants’ total physical activity increased by an average of 177 minutes per week (p = 0.01). The complexity of the team forming process and issues using the Facebook environment, where a variety of devices and software platforms are used, was highlighted.DiscussionA team-based Facebook app shows considerable promise for the recruitment and retention of participants to a social network-based physical activity intervention. A randomised controlled trial to further evaluate the effectiveness of the intervention is warranted.

This statistic shows the time of the day consumers typically use social media in Queensland, Australia as of **********. During the survey, about ** percent of respondents from Queensland said they used social networking sites in the evening.

The number of Twitter users in Africa was forecast to continuously increase between 2024 and 2028 by in total 28.1 million users (+100.75 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 55.96 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, 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 Twitter users in countries like Australia & Oceania and North America.