The WeChat dataset for fake news detection contains more than 20k news labelled as fake news or not.
The global number of WeChat users in was forecast to decrease between 2024 and 2028 by in total 26.4 million users. This overall decrease does not happen continuously, notably not in 2026 and 2027. The WeChat user base is estimated to amount to 1.2 billion users in 2028. Notably, the number of WeChat users of was continuously increasing over the past years.User figures numbers, here concerning the platform weChat, 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).
The number of Tencent's WeChat active accounts has been increasing steadily. As at the end of December 2023, the Chinese multi-functional social media platform had over 1.3 billion monthly active users. WeChat users First released in 2011, WeChat is a mobile messaging app developed by the Chinese company Tencent. In its home market of China, WeChat was marketed as Weixin and was rebranded as WeChat in 2012 for international audiences. In 2018, WeChat and Weixin surpassed one billion users, which was a significant increase from the previous year. Today, WeChat is one of the leading social networks worldwide, ranking fifth in terms of active user number. It has users from different age groups. Special features on WeChat WeChat has lots of popular messaging app features, including Moments. A majority of WeChat users access WeChat Moments every time they open the app. Voice and text messaging, group messaging, payment, and games are other examples of WeChat activities. The app also includes a following function whereby users can follow accounts. A survey found that a quarter of WeChat users in China spent over four hours on the app on a daily basis.
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WeChat was launched in 2011 as Weixin, Mandarin for ‘micro-message’. As the name suggests, it originally functioned as a simple messenger app, a Chinese equivalent to WhatsApp in essence. WeChat...
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This table shows the number of daily active users (DAU) on WeChat Mini Programs per year. This includes DAU data for the platform from 2017 to the current year, and estimates for its daily active users in the next years.
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This table shows the list of top countries according to the highest number of downloads for the WeChat app. It also includes data on the corresponding number of app downloads in the countries.
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WeChat is one of the most popular social media in the world? Dive into WeChat Statistics to see the number of people who use WeChat and usage trends.
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id: unique id number of WeChat postAccount: WeChat public accounttime: date of post publicationtitle: title of WeChat postcontent: content of WeChat postmedia: number of multimedia objects in WeChat postURL: permanent link of WeChat postsegcon_unlist: tokenized content of WeChat postmonth: month of post publicationyear: year of post publicationAccount_e: English name of WeChat public accounttoken_count: number of tokens in WeChat postsenti_count: number of sentiment terms in WeChat postsenti_str: Sentiment terms in WeChat postNB: Weighted number of sadness terms (悲伤) in WeChat postNC: Weighted number of fear terms (恐惧) in WeChat postND: Weighted number of antipathy terms (憎恶) in WeChat postNE: Weighted number of distraught terms (烦闷) in WeChat postNG: Weighted number of shame/shyness terms (羞) in WeChat postNH: Weighted number of guilt terms (疚) in WeChat postNI: Weighted number of panic terms (慌) in WeChat postNJ: Weighted number of disappointment terms (失望) in WeChat postNK: Weighted number of jealousy terms (妒忌) in WeChat postNL: Weighted number of skepticism terms (怀疑) in WeChat postNN: Weighted number of denigration terms (贬责) in WeChat postPA: Weighted number of happiness terms (快乐) in WeChat postPB: Weighted number of fondness terms (喜爱) in WeChat postPC: Weighted number of surprise terms (惊奇) in WeChat postPD: Weighted number of respect terms in (尊敬) WeChat postPE: Weighted number of peacefulness terms (安心) in WeChat postPF: Weighted number of anxiety terms (思) in WeChat postPG: Weighted number of trust terms (相信) in WeChat postPH: Weighted number of commendation/approval terms (赞扬) in WeChat postPK: Weighted number of wishfulness terms (祝愿) in WeChat postNAs: Weighted number of anger terms (愤怒) in WeChat postposi: Weighted number of positive sentiment terms in WeChat postnega: Weighted number of negative sentiment terms in WeChat postall_senti: Weighted number of all sentiment terms in WeChat postall_senti_norm: Standardized weighted number of all sentiment terms in WeChat postofficial: Official affiliation of WeChat post (Official media or Non-official media)
This dataset was created by Chengxin Hu
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This table shows the list of top countries according to the highest revenue generated for WeChat in-app purchases. It also includes data on the corresponding revenue generated in the countries in million US dollars.
This statistic presents the mobile data usage of WeChat users in China. As of January 2015, 27.7 percent of mobile data volume was spent on WeChat content consumption. Online browsing was ranked second with 26.9 percent of data usage.
The number of Tencent's WeChat active accounts has been increasing steadily. As at the end of September 2023, the Chinese multi-functional social media platform had over 1.3 billion monthly active users.
WeChat users
First released in 2011, WeChat is a mobile messaging app developed by the Chinese company Tencent. In its home market of China, WeChat was marketed as Weixin and was rebranded as WeChat in 2012 for international audiences. In 2018, WeChat and Weixin surpassed one billion users, which was a significant increase from the previous year. Today, WeChat is one of the leading social networks worldwide, ranking fifth in terms of active user number. It has users from different age groups.
Special features on WeChat WeChat has lots of popular messaging app features, including Moments. A majority of WeChat users access WeChat Moments every time they open the app. Voice and text messaging, group messaging, payment, and games are other examples of WeChat activities. The app also includes a following function whereby users can follow accounts. A survey found that a quarter of WeChat users in China spent over four hours on the app on a daily basis.
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Boundaries with Parents: A Study of Chinese College Students' Genuine Responses to Parental WeChat Friend Requests and Its Implications on Parent-Child Relationships
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Given the potential of social network sites in democratization, this study explored the relationship between WeChat use, gratification seeking, and political engagement through WeChat in China. A survey of 307, young adult, WeChat users found: (1) WeChat use for entertainment and recognition needs predicted political engagement through WeChat; (2) WeChat use and browsing news and information about a particular political issue on WeChat were positively associated with political engagement through WeChat; and (3) the relationship between WeChat use and political engagement through WeChat was moderated by browsing news and information on WeChat.
In China, the number of college students using mobile phone based messaging and social networking applications like WeChat is increasing rapidly. However, there has been minimal research into the addictive nature of these applications and the psychological characteristics associate with their excessive use. There is also no published scale available for assessing excessive use of WeChat and similar applications. In the current study, we collected data from 1,245 college students in China (715 females) and developed the WeChat Excessive Use Scale (WEUS). We then assessed the relationship between excessive use of WeChat and excessive use of a social networking application-Weibo, problematic use of mobile phones, external locus of control, and social interaction skills. Our 10-item scale featured three factors, namely- “mood modification,” “salience” and ‘‘conflict”- critical factors in assessing different forms of addiction. The WEUS was found to be a reliable instrument in assessing excessive use of WeChat as it showed good internal consistency and correlated with other measures of problematic use social networking and mobile phone addiction. Our results showed that excessive users of WeChat are more likely to excessively use Weibo than they are to problematically use mobile phones. Our study also showed that greater excessive use of WeChat is associated with higher external locus of control and greater online social interaction skills. These results reveal that WeChat has unique and strong appeal among college students in China. Further, practitioners should consider dealing with malleable factors like locus of control and real life social skills in treating people with problematic messaging and social networking.
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The dataset contains WeChat posts uploaded by 47 most influential WeChat official accounts from November 2018 to December 2019.
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Summary statistics for WeChat use intensity items (n = 282).
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This dataset contains the data collected in an online survey on the use of Chinese mobile messaging application WeChat by German-speaking expatriates in China. The survey was conducted in German and was online between November, 2018, and April, 2019. A total of 208 fully answered surveys were submitted through the online platform www.soscisurvey.de. The data collected was exported in the following available formats: Excel, GNU R, SPSS, SQL, and Stata. PDF screenshot desktop and mobile versions of the survey are included in the dataset.
The WeChat dataset for fake news detection contains more than 20k news labelled as fake news or not.