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Social Media Analytics: A Case Study Of Singapore General Election 2020, Sebastian Zhi Tao Khoo, Leong Hock Ho, Ee Hong Lee, Danston Kheng Boon Goh, Zehao Zhang, Swee Hong Ng, Haodi Qi, Kyong Jin Shim
Social Media Analytics: A Case Study Of Singapore General Election 2020, Sebastian Zhi Tao Khoo, Leong Hock Ho, Ee Hong Lee, Danston Kheng Boon Goh, Zehao Zhang, Swee Hong Ng, Haodi Qi, Kyong Jin Shim
Research Collection School Of Computing and Information Systems
The 2020 Singaporean General Election (GE2020) was a general election held in Singapore on July 10, 2020. In this study, we present an analysis on social conversations about GE2020 during the election period. We analyzed social conversations from popular platforms such as Twitter, HardwareZone, and TR Emeritus.
Digital Social Listening On Conversations About Sexual Harassment, Xuesi Sim, Ern Rae Chang, Yu Xiang Ong, Jie Ying Yeo, Christine Bai Shuang Yan, Eugene Wen Jia Choy, Kyong Jin Shim
Digital Social Listening On Conversations About Sexual Harassment, Xuesi Sim, Ern Rae Chang, Yu Xiang Ong, Jie Ying Yeo, Christine Bai Shuang Yan, Eugene Wen Jia Choy, Kyong Jin Shim
Research Collection School Of Computing and Information Systems
In light of the #MeToo movement and publicized sexual harassment incidents in Singapore in recent years, we built an analytics pipeline for performing digital social listening on conversations about sexual harassment for AWARE (Association of Women for Action and Research). Our social network analysis results identified key influencers that AWARE can engage for sexual harassment awareness campaigns. Further, our analysis results suggest new hashtags that AWARE can use to run social media campaigns and achieve greater reach.
What's On Job Seekers' Social Media Sites? A Content Analysis And Effects Of Structure On Recruiter Judgments And Predictive Validity, Liwen Zhang, Chad H. Van Iddekinge, John D. Arnold, Philip L. Roth, Filip Lievens, Stephen E. Lanivich, Samantha L. Jordan
What's On Job Seekers' Social Media Sites? A Content Analysis And Effects Of Structure On Recruiter Judgments And Predictive Validity, Liwen Zhang, Chad H. Van Iddekinge, John D. Arnold, Philip L. Roth, Filip Lievens, Stephen E. Lanivich, Samantha L. Jordan
Research Collection Lee Kong Chian School Of Business
Many organizational representatives review social media (SM) information (e.g., Facebook, Twitter) when recruiting and assessing job applicants. Despite this, very little empirical data exist concerning the SM information available to organizations or whether assessments of such information are a valid predictor of work outcomes. This multi-study investigation examines several critical issues in this emerging area. In Study 1, we conducted a content analysis of job seekers’ Facebook sites (n = 266) and found that these sites often provide demographic variables that U.S. employment laws typically prohibit organizations from using when making personnel decisions (e.g., age, ethnicity, religion), as well as …
Front Liners Fighting Fake News: Global Perspectives On Mobilising Young People As Media Literacy Advocates, Sun Sun Lim, Kai Ryn Tan
Front Liners Fighting Fake News: Global Perspectives On Mobilising Young People As Media Literacy Advocates, Sun Sun Lim, Kai Ryn Tan
Research Collection College of Integrative Studies
With young people at the vanguard of technology adoption and media consumption, many governments are actively incorporating young people into their public education campaigns, and young people are enlisting themselves as media literacy advocates. This article reviews a selection of such media literacy programmes to unpack their key thrusts and components so as to identify best practices and learning points. It will also closely investigate one particular youth-led effort and chart its conception, execution and development.
An Attention-Based Rumor Detection Model With Tree-Structured Recursive Neural Networks, Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong
An Attention-Based Rumor Detection Model With Tree-Structured Recursive Neural Networks, Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong
Research Collection School Of Computing and Information Systems
Rumor spread in social media severely jeopardizes the credibility of online content. Thus, automatic debunking of rumors is of great importance to keep social media a healthy environment. While facing a dubious claim, people often dispute its truthfulness sporadically in their posts containing various cues, which can form useful evidence with long-distance dependencies. In this work, we propose to learn discriminative features from microblog posts by following their non-sequential propagation structure and generate more powerful representations for identifying rumors. For modeling non-sequential structure, we first represent the diffusion of microblog posts with propagation trees, which provide valuable clues on how …
Detecting Fake News In Social Media: An Asia-Pacific Perspective, Meeyoung Cha, Wei Gao, Cheng-Te Li
Detecting Fake News In Social Media: An Asia-Pacific Perspective, Meeyoung Cha, Wei Gao, Cheng-Te Li
Research Collection School Of Computing and Information Systems
In March 2011, the catastrophic accident known as "The Fukushima Daiichi nuclear disaster" took place, initiated by the Tohoku earthquake and tsunami in Japan. The only nuclear accident to receive a Level-7 classification on the International Nuclear Event Scale since the Chernobyl nuclear power plant disaster in 1986, the Fukushima event triggered global concerns and rumors regarding radiation leaks. Among the false rumors was an image, which had been described as a map of radioactive discharge emanating into the Pacific Ocean, as illustrated in the accompanying figure. In fact, this figure, depicting the wave height of the tsunami that followed, …
Marriage Migrants’ Use Of Social Media, Soontae An, Sun Sun Lim, Hannah Lee
Marriage Migrants’ Use Of Social Media, Soontae An, Sun Sun Lim, Hannah Lee
Research Collection College of Integrative Studies
This study analyzed the role and impact of social media use on the daily lives of marriage migrants. We empirically examined a moderated mediation model by surveying 201 marriage migrants. This study focused on four key concepts: social stigma, empowerment, self-stigma, and social networks forged via social media such as Facebook, Kakao Talk, LINE, and Viber. The results confirmed that the detrimental effect of social stigma can be mitigated by robust social networks, and a greater feeling of empowerment resulted in less self-stigma. Consequently, social networks through social media acted as a buffer against negative public opinion or any belittling …