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Social and Behavioral Sciences Commons™
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- Keyword
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- Social media (7)
- Social Media (3)
- Analytics (2)
- Facebook (2)
- Fake news (2)
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- #MeToo (1)
- Advocacy (1)
- Alternative Media (1)
- Asia Pacific (1)
- Audiences (1)
- Consumer Pressure (1)
- Corporate reputation (1)
- Covid-19 (1)
- Crisis communications (1)
- Customer Service (1)
- Cybervetting (1)
- Data mining (1)
- Digital literacy (1)
- Disasters (1)
- Disclosures (1)
- Discretionary Dissemination (1)
- Emotions in social media (1)
- Empowerment (1)
- Executive functions (1)
- Fact checking (1)
- Feedback (1)
- Hate speech (1)
- Influencer marketing (1)
- Influencers (1)
- Instagram (1)
- Publication
Articles 1 - 18 of 18
Full-Text Articles in Social and Behavioral Sciences
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.
Social Media Influencers And Instagram Storytelling: Case Study Of Singapore Instagram Influencers, Mark Chong, Gottipati Swapna
Social Media Influencers And Instagram Storytelling: Case Study Of Singapore Instagram Influencers, Mark Chong, Gottipati Swapna
Research Collection Lee Kong Chian School Of Business
While the use of social media influencers (SMIs) by brands is becoming more widespread, the academic literature about SMI communication is still scarce. This is one of the first studies on SMI brand storytelling, using data mining and natural language processing to understand how SMIs tell brand stories on Instagram, what kinds of stories they tell, and the impact they have on follower engagement. The findings show that the "rise-fall" emotional arc was the most common story arc used by SMIs. In addition, SMIs frequently used the first-person perspective and featured themselves as the protagonists in their stories. Last, SMIs …
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 …
Identifying And Characterizing Alternative News Media On Facebook, Samuel S. Guimaraes, Julia C. S. Reis, Lucas Lima, Filipe N. Ribeiro, Marisa Vasconcelos, Jisun An, Haewoon Kwak, Fabricio Benevenuto
Identifying And Characterizing Alternative News Media On Facebook, Samuel S. Guimaraes, Julia C. S. Reis, Lucas Lima, Filipe N. Ribeiro, Marisa Vasconcelos, Jisun An, Haewoon Kwak, Fabricio Benevenuto
Research Collection School Of Computing and Information Systems
As Internet users increasingly rely on social media sites to receive news, they are faced with a bewildering number of news media choices. For example, thousands of Facebook pages today are registered and categorized as some form of news media outlets. This situation boosted the so-called independent journalism, also known as alternative news media. Identifying and characterizing all the news pages that play an important role in news dissemination is key for understanding the news ecosystems of a country. In this work, we propose a graph-based semi-supervised method to measure the political bias of pages on most countries and show …
Business Practice Of Social Media - Platform And Customer Service Adoption, Shujing Sun, Yang Gao, Huaxia Rui
Business Practice Of Social Media - Platform And Customer Service Adoption, Shujing Sun, Yang Gao, Huaxia Rui
Research Collection School Of Computing and Information Systems
This paper examines the key drivers in business adoptions of the platform and customer service within the context of social media. We carry out the empirical analyses using the decision trajectories of the international airline industry on Twitter. We find that a firm's decision-making is subject to both peer influence and consumer pressure. Regarding peer influence, we find that the odds of both adoptions increase when the extent of peers' adoption increases. We also identify the distinctive role of consumers. Specifically, before the platform adoption, firms learn about potential consequences from consumer reactions to peers' adoptions. Upon the platform adoption, …
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.
5 Ways To Boost Your Business Through Influencer Marketing, Patricia Lui
5 Ways To Boost Your Business Through Influencer Marketing, Patricia Lui
Research Collection Lee Kong Chian School Of Business
Covid-19 pandemic’s economic impact put pressure on marketing budgets. Brands are more careful when deciding how they spend the funds on digital marketing, including influencer strategy. The blog offers tips on how to tap on influencers to create brand awareness and generate business leads and conversions.
Coupled Hierarchical Transformer For Stance-Aware Rumor Verification In Social Media Conversations, Jianfei Yu, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu, Rui Xia
Coupled Hierarchical Transformer For Stance-Aware Rumor Verification In Social Media Conversations, Jianfei Yu, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu, Rui Xia
Research Collection School Of Computing and Information Systems
The prevalent use of social media enables rapid spread of rumors on a massive scale, which leads to the emerging need of automatic rumor verification (RV). A number of previous studies focus on leveraging stance classification to enhance RV with multi-task learning (MTL) methods. However, most of these methods failed to employ pre-trained contextualized embeddings such as BERT, and did not exploit inter-task dependencies by using predicted stance labels to improve the RV task. Therefore, in this paper, to extend BERT to obtain thread representations, we first propose a Hierarchical Transformer1 , which divides each long thread into shorter subthreads, …
Social Media Use Improves Executive Functions In Middle-Aged And Older Adults: A Structural Equation Modeling Analysis, Shi Ann Shuna Khoo, Hwajin Yang
Social Media Use Improves Executive Functions In Middle-Aged And Older Adults: A Structural Equation Modeling Analysis, Shi Ann Shuna Khoo, Hwajin Yang
Research Collection School of Social Sciences
Given the paucity of research on the cognitive implications of social media use in middle and late adulthood, we sought to understand the relations between middle-aged and older adults' social media use and their executive functions (EF)—a set of domain-general cognitive control processes—and the underlying mechanism. By analyzing a nationally representative cohort ranging from ages 40s–70s from the MIDUS Refresher Survey and Cognitive Project, we tested a serial mediation model with perception of social support and sense of control (i.e., personal mastery and perceived constraints) as sequential mediators in a structural equation modeling analysis. We found that perceived social support …
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.
Manufacturing Hate 4.0: Can Media Studies Rise To The Challenge?, Sun Sun Lim
Manufacturing Hate 4.0: Can Media Studies Rise To The Challenge?, Sun Sun Lim
Research Collection College of Integrative Studies
This article reflects on the growing scourge of hate speech and its propagation via digital social media networks. It discusses how media studies has drawn attention to salient aspects of online hate speech including technological affordances, communication tactics, representational tropes, and audience response. It argues that insights from media studies are vital for unpacking the societal impact of the media and indeed for tackling a destructive force such as online hate speech. It further encourages media studies scholars to engage vigorously with colleagues in and across other disciplines to forge interdisciplinary research collaborations to address pressing societal issues. It urges …
Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu
Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu
Research Collection School Of Accountancy
Using an unsupervised machine learning approach to analyze 12.8 million tweets posted by S&P 1500 firms from 2012 to 2016, we find that firms tweet more financial information around significantly negative or positive earnings announcements or accounting filings. Specifically, we observe a symmetric U-shaped relation between the number of financial tweets and the materiality of accounting information events. This relation is consistent with the theoretical prediction in Hummel et al. (2018) which assumes that managers are sensitive to their firm’s fundamental value. We document that this relation also holds for hyperlink usage in tweets about financial information around important events, …
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 …
Emotions In Social Media: An Analysis Of Tweet Responses To Mh370 Search Suspension Announcement, Su Lin Yeo, Augustine Pang, Michelle L. F. Cheong, Tye Shi Jerome Quincy Yeo
Emotions In Social Media: An Analysis Of Tweet Responses To Mh370 Search Suspension Announcement, Su Lin Yeo, Augustine Pang, Michelle L. F. Cheong, Tye Shi Jerome Quincy Yeo
Research Collection Lee Kong Chian School Of Business
Considered one of the deadliest incidents in the history of aviation crises and labelled a “continuing mystery,” the ongoing search for the missing Malaysia Airlines Flight 370 offers no closure. With endless media attention, and negative reactions of stakeholders to every decision made by the airline, this study investigates the types of emotions found in social media posted by publics to the MH370 search suspension announcement. It content analyzed 5,062 real-time tweet messages guided by the revised integrated crisis mapping model. Our findings indicated that, in addition to the four original emotions posited, there was a fifth emotion because of …
Are These Comments Triggering? Predicting Triggers Of Toxicity In Online Discussions, Hind Almerekhi, Haewoon Kwak, Joni Salminen, Bernard J. Jansen
Are These Comments Triggering? Predicting Triggers Of Toxicity In Online Discussions, Hind Almerekhi, Haewoon Kwak, Joni Salminen, Bernard J. Jansen
Research Collection School Of Computing and Information Systems
Understanding the causes or triggers of toxicity adds a new dimension to the prevention of toxic behavior in online discussions. In this research, we define toxicity triggers in online discussions as a non-toxic comment that lead to toxic replies. Then, we build a neural network-based prediction model for toxicity trigger. The prediction model incorporates text-based features and derived features from previous studies that pertain to shifts in sentiment, topic flow, and discussion context. Our findings show that triggers of toxicity contain identifiable features and that incorporating shift features with the discussion context can be detected with a ROC-AUC score of …
Can Influencer Marketing Make Herbal Tea Cool?, Singapore Management University
Can Influencer Marketing Make Herbal Tea Cool?, Singapore Management University
Perspectives@SMU
A Singapore-based influencer marketing platform is tasked with the equivalent of trying to “sell bell-bottoms to Millennials”
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 …