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Articles 1 - 30 of 392

Full-Text Articles in Social Media

Log Off To Level Up: The Effect Of Social Media Hiatus On Goal Pursuit, Nekysha L. Y. Jalil, Yong Han Tan, Andree Hartanto, Eddie M. W. Tong May 2026

Log Off To Level Up: The Effect Of Social Media Hiatus On Goal Pursuit, Nekysha L. Y. Jalil, Yong Han Tan, Andree Hartanto, Eddie M. W. Tong

Research Collection School of Social Sciences

Concerns are growing that social media, with its constant notifications and attention-grabbing content, may distract individuals and hinder progress toward important goals. Despite its pervasive presence in our lives, the impact of social media on goal achievement has not been thoroughly studied. This within-subject experimental study aims to investigate the effects of social media hiatus (SMH), a short abstinence from social media usage, on goal pursuit processes. Participants (N= 107) completed daily diaries over three consecutive days of SMH and three days of regular social media use. SMH was manipulated by blocking participants’ access to multiple social media platforms. The …

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A Stress-Induced Digital Escapism Framework For Understanding The Link Between Stress And Problematic Social Media Use, Hwajin Yang, Frosch Yi Xuan Quek, Xiu Hui Salin Yap, Yue Qi Germaine Tng, Gilaine Rui Ng May 2026

A Stress-Induced Digital Escapism Framework For Understanding The Link Between Stress And Problematic Social Media Use, Hwajin Yang, Frosch Yi Xuan Quek, Xiu Hui Salin Yap, Yue Qi Germaine Tng, Gilaine Rui Ng

Research Collection School of Social Sciences

Given that stress is a significant risk factor for problematic social media use, understanding the underlying psychological mechanisms is essential. We introduce the Stress-Induced Digital Escapism (SIDE) framework, which posits that negative internal emotional responses to external stressors may increase reliance on maladaptive emotion regulation strategies that fail to alleviate distress. These processes may, in turn, strengthen escapism motives that lead to seeking emotional relief through compulsive social media use. Using structural equation modeling (N = 238), we examined three integrated psychological pathways—negative stress reactions, maladaptive emotion regulation strategies, and escapism motives—as sequential mediators linking external demands to problematic social …

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The Moderating Effects Of Executive Functions: A Multi-Level Analysis Of Daily Stress And Problematic Social Media Use, Wee Qin Ng, Hwajin Yang Mar 2026

The Moderating Effects Of Executive Functions: A Multi-Level Analysis Of Daily Stress And Problematic Social Media Use, Wee Qin Ng, Hwajin Yang

Research Collection School of Social Sciences

Mixed findings on the relationship between daily stress and social media use suggest the presence of moderators that buffer this link. Previous longitudinal studies, with assessment intervals from 1 month to 1 year, may not accurately capture daily fluctuations in stress and social media use. To address this gap, we conducted a fine-grained, temporally sensitive 7-day daily-diary longitudinal study investigating the dynamic within-person and between-person associations between daily stress, problematic social media use, and objective screen time. Using a theory-driven approach, we examined whether executive functions (EF)—a set of cognitive processes crucial for goal-directed behaviors—moderate the link between daily stress …

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The Feelit System: Application Content-Aware Perspectives And Challenges On Understanding User Likes In Social Network Posts, Konstantinos Theocharidis, Hady W. Lauw, Panagiotis Karras Feb 2026

The Feelit System: Application Content-Aware Perspectives And Challenges On Understanding User Likes In Social Network Posts, Konstantinos Theocharidis, Hady W. Lauw, Panagiotis Karras

Research Collection School Of Computing and Information Systems

In a series of our prior works, we study influence and subscription maximization problems in social networks that are based on posts having influential content; as content we consider a set of features where each feature corresponds to a specific social network page, whereas influence and subscription relate to gaining the postlike and subscription-to-brand page of targeted users, respectively; subscription is conceptually achieved as repetitive influence on users. So, both influence and subscription depend on content that gains the likes of users; however, to be realistic, modeling and estimating such likes is a complex problem that has not been adequately …

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Multihoming And Single-Homing Complementors' Responses To Intensified Between-Platform Competition: Evidence From The Youtube–Twitch Rivalry, Niloofar Abolfathi Jan 2026

Multihoming And Single-Homing Complementors' Responses To Intensified Between-Platform Competition: Evidence From The Youtube–Twitch Rivalry, Niloofar Abolfathi

Research Collection Lee Kong Chian School Of Business

Research Summary: This paper examines how heterogeneous YouTube content creators-specifically, single-homing and multihoming channels-respond to a sudden increase in the exposure of the rival platform, Twitch. Contrary to expectations, I find that multihoming channels reduce their content creation efforts and underperform relative to single-homers. To make sense of these surprising results, I develop a formal model that characterizes the strategic behavior of different types of complementors operating across two platforms with varying levels of user exposure. The model offers a plausible explanation for the observed empirical patterns, suggesting that intensified competition between platforms, as a consequence of their changing exposure, …

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Does Social Media Undermine Trust? Institutional Trust In Civil Society And Governance Institutions, Christianna Sirindah Parr Dec 2025

Does Social Media Undermine Trust? Institutional Trust In Civil Society And Governance Institutions, Christianna Sirindah Parr

Research Collection School of Social Sciences

What is the relationship between social media use and trust in civil society and governance institutions? In many parts of Asia, trust in government remains high despite limited political accountability and civil liberties. This study examines whether online political expression reshapes institutional trust in governance institutions and civil society organizations. The analysis considers the dual role of social media as a site for civic engagement and a channel for disaffection with formal authority. Using data from the Asian Barometer, the findings show that political expression on social media is associated with lower trust in governance institutions and higher trust in …

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Role Of Social Media Mindfulness In Combatting Fake News Propagation, Gaurav Bansal, Fiona Fui-Hoon Nah, Jason B. Thatcher Aug 2025

Role Of Social Media Mindfulness In Combatting Fake News Propagation, Gaurav Bansal, Fiona Fui-Hoon Nah, Jason B. Thatcher

Research Collection School Of Computing and Information Systems

The dissemination of fake news by social media users is a key factor in the escalation of misinformation. Research suggests that social media networks are becoming increasingly homophilic, which leads to an overreliance on social media friends that contributes to the spread of fake news. However, little is known about how social media mindfulness can reduce the sharing of fake news. To investigate this research question, we conceptualized a social media mindfulness construct and developed the social media mindfulness scale. We also hypothesize that social media mindfulness lowers overreliance on friends’ knowledge, which increases skepticism about social media news that …

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Explainable Multimodal Sentiment Analysis Of Social Media Visual Content For Child Safety, Yee Sen Tan, Zhaoxia Wang Aug 2025

Explainable Multimodal Sentiment Analysis Of Social Media Visual Content For Child Safety, Yee Sen Tan, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Ensuring the safety and well-being of children is increasingly important, especially in a world where visual content is pervasive. This paper proposes a novel multimodal, multilingual, and multiclass sentiment analysis method for social media content, aimed at improving content moderation for child safety. Our approach integrates textual, visual, and audio data from videos, categorizing sentiment into four levels: positive, slightly negative, negative, and strongly negative, enabling granular detection of harmful content. To enhance explainability and trust, we also leverage interpretable mechanisms to analyze the contributions of each modality. Evaluation of our method demonstrates strong generalization across diverse video types, and …

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Longitudinal And Bidirectional Relations Between Problematic Social Media Use And Cognitive Failures, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto Aug 2025

Longitudinal And Bidirectional Relations Between Problematic Social Media Use And Cognitive Failures, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto

Research Collection School of Social Sciences

With social media becoming increasingly pervasive in our daily lives, there have been heightened concerns that the distractions caused by compulsive and problematic social media use may lead to cognitive failures. While some preliminary work have explored the link between problematic social media use and cognitive functioning, most are cross-sectional, leaving it uncertain whether cognitive failures are a precursor or consequence of problematic social media use. To address this gap, the current study examines the bidirectional relationship between problematic social media use and cognitive failures. A sample of 252 young adults completed the Problematic Social Media Use Scale and the …

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Misinformation Regulations: Early Evidence On Corporate Social Media Strategy, Richard M. Crowley, Yun Lou, Samuel T. Tan, Liandong Zhang Jul 2025

Misinformation Regulations: Early Evidence On Corporate Social Media Strategy, Richard M. Crowley, Yun Lou, Samuel T. Tan, Liandong Zhang

Research Collection School Of Accountancy

Against the backdrop of an increasing threat of misinformation on social media, several countries have enacted regulations to curb the spread of misinformation. This study examines how corporate social media strategy responds to misinformation regulations. Using a large cross-country dataset of corporate tweets and a stacked regression analysis, we show that misinformation regulations lead to less corporate social media disclosure. This result suggests that by deterring misinformation, these regulations reduce firms’ need to use social media to counteract its adverse effects. Additional analyses show that the effect is more pronounced among countries with higher social media usage and countries with …

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Building Narratives And Probing Concepts: Preparing Materials For Co-Design With Autistic Livestreamers, Terrance Mok, Tyson Hartley, Anthony Tang, Adam Mccrimmon, Lora Oehlberg Jun 2025

Building Narratives And Probing Concepts: Preparing Materials For Co-Design With Autistic Livestreamers, Terrance Mok, Tyson Hartley, Anthony Tang, Adam Mccrimmon, Lora Oehlberg

Research Collection School Of Computing and Information Systems

Based on ten semi-structured interviews with autistic Twitch streamers, we introduce a series of scenario-based design narratives coupled with technology design concepts as a starting point for co-design discussion about autistic streaming. This work builds on prior thematic analysis of the unique intersection between autism and livestreaming. Our user-centered scenarios highlight the needs, goals, and challenges of autistic individuals in livestreaming contexts. By using evocative narratives, the scenarios serve to facilitate empathy and deeper engagement with the needs of autistic users, and help facilitate and support co-creative dialogues and discussions about new technology designs. We contribute this starting point for …

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Nature Of Smartphone Use: The Underlying Mechanisms Between Nature Exposure And Urge To Use Social Media, Jia Yi Aw May 2025

Nature Of Smartphone Use: The Underlying Mechanisms Between Nature Exposure And Urge To Use Social Media, Jia Yi Aw

Dissertations and Theses Collection (Open Access)

The urge to use social media is prevalent and costly in modern society. However, little has been researched on how nature exposure can manage urge to use social media to combat its negative consequences. It was hypothesized that nature exposure through Instagram posts in Study 1 and nature park in Study 2 reduces urge to use social media. The underlying mechanisms were tested in a theory-driven serial mediation model, in which positive emotions, attention restoration and self-regulation served as serial mediators. Study 1 employed Instagram experimental manipulation in a laboratory setting by randomly assigning 206 undergraduates to view Instagram accounts …

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Investigating The Effect Of Full And Partial Social Media Abstinence On Fear Of Missing Out And Well-Being Outcomes: A Daily Diary Experimental Approach, Andree Hartanto, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna, Meenakshi Kothari, A. Y. H. Goh, Frosch Yi Xuan Quek, Nadyanna M. Majeed Mar 2025

Investigating The Effect Of Full And Partial Social Media Abstinence On Fear Of Missing Out And Well-Being Outcomes: A Daily Diary Experimental Approach, Andree Hartanto, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna, Meenakshi Kothari, A. Y. H. Goh, Frosch Yi Xuan Quek, Nadyanna M. Majeed

Research Collection School of Social Sciences

With social media deeply embedded in our daily lives, there is an ongoing debate about its potential negative impact on well-being outcomes. Several lines of correlational research suggest that social media use is associated with reduced well-being. However, these findings are preliminary, heavily relying on cross-sectional data. To address this limitation, our study implemented an experimental paradigm that manipulated varying degrees of social media abstinence and assessed fear of missing out, as well as multiple well-being outcomes, including anxiety, depressive symptoms, life satisfaction, perceived stress, affective states, loneliness, sleep quality, and cognitive failures. A total of 280 regular social media …

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Empowering Crisis Information Extraction Through Actionability Event Schemata And Domain-Adaptive Pre-Training, Yuhao Zhang, Siaw Ling Lo, Phyo Yi Win Myint Jan 2025

Empowering Crisis Information Extraction Through Actionability Event Schemata And Domain-Adaptive Pre-Training, Yuhao Zhang, Siaw Ling Lo, Phyo Yi Win Myint

Research Collection School Of Computing and Information Systems

One of the persistent challenges in crisis detection is inferring actionable information to support emergency response. Existing methods focus on situational awareness but often lack actionable insights. This study proposes a holistic approach to implementing an actionability extraction system on social media, including requirement gathering, selection of machine learning tasks, data preparation, and integration with existing resources, providing guidance for governments, civil services, emergency workers, and researchers on supplementing existing channels with actionable information from social media. Our solution leverages an actionability schema and domain-adaptive pre-training, improving upon the state-of-the-art model by 5.5% and 10.1% in micro and macro F1 …

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No Consistent Evidence For Between- And Within-Person Associations Between Objective Social Media Screen Time And Body Image Dissatisfaction: Insights From A Daily Diary Study, Adalia Y. H. Goh, Andree Hartanto, K. T. A. Sandeeshwara Kasturiratna, Nadyanna M. Majeed Jan 2025

No Consistent Evidence For Between- And Within-Person Associations Between Objective Social Media Screen Time And Body Image Dissatisfaction: Insights From A Daily Diary Study, Adalia Y. H. Goh, Andree Hartanto, K. T. A. Sandeeshwara Kasturiratna, Nadyanna M. Majeed

Research Collection School of Social Sciences

With the abundance of social media content that promotes unrealistic beauty standards, there are growing concerns about the potential negative impact of social media use on body image satisfaction. While some studies highlight negative associations, others present null effects, pointing to methodological limitations like biased and unreliable self-reported screen time measures and a focus on singular platforms. Addressing these gaps, our study employed a daily diary method to objectively measure social media screen time across six major platforms (Twitter, Reddit, TikTok, YouTube, Instagram, and Facebook), alongside daily body image dissatisfaction among 252 young adults (Mage = 21.67 years, 67.77% female) …

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Media Use, Interpersonal Communication, And Personal Relevance As External And Internal Representations Of Climate Change, Sonny Rosenthal, Pengya Ai Nov 2024

Media Use, Interpersonal Communication, And Personal Relevance As External And Internal Representations Of Climate Change, Sonny Rosenthal, Pengya Ai

Research Collection College of Integrative Studies

Personal relevance is a key driver of individual climate action. It is also related to media use and interpersonal communication, which the current study examines from two perspectives. First, individuals may find climate change personally relevant because they experience it vicariously through the media and other information sources. Second, they may engage with climate change information because the issue is personally relevant. This study tested these models using structural equation modeling of online survey data from representative samples in Singapore (n = 1,997) and the United States (n = 2,009). Findings supported both models, albeit the first one more strongly. …

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Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu Nov 2024

Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu

Research Collection School Of Accountancy

The study provides large-scale descriptive evidence on the timing and nature of corporate financial tweeting. Using an unsupervised machine learning approach to analyze 24 million tweets posted by S&P 1500 firms from 2012 to 2020, we find that firms are more likely to tweet financial information around significantly negative or positive news events, such as earnings announcements and the filing of financial statements. This convex U-shaped relation between the likelihood of posting financial tweets and the materiality of accounting events becomes stronger over time. Whereas research based on early samples concludes that firms are less likely to disseminate financial information …

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Experimental Evidence Of Instagram Influencers’ Impact On Well-Being, Kimberly Yiting T'Ng, Kai Qin Chan, Andree Hartanto Nov 2024

Experimental Evidence Of Instagram Influencers’ Impact On Well-Being, Kimberly Yiting T'Ng, Kai Qin Chan, Andree Hartanto

Research Collection School of Social Sciences

With Instagram influencers holding significant sway over public perception, their presumed psychological impact on young adults has gathered public attention. It has been claimed that influencers, known for showcasing enviable lifestyles, have the potential to affect their followers’ well-being. However, these claims have been based on correlational data that focuses on diffused indicators of social media consumption rather than specific features of Instagram. This limits our insight into the direct effects of Instagram on well-being. We experimentally investigated the effects of a brief exposure to Instagram influencers on the well-being. Our results showed that viewing profiles of demographically similar social …

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Daily Stress, Problematic Social Media Use, And Executive Functions: A Daily Diary Approach, Wee Qin Ng Oct 2024

Daily Stress, Problematic Social Media Use, And Executive Functions: A Daily Diary Approach, Wee Qin Ng

Dissertations and Theses Collection (Open Access)

A growing body of research suggests that daily stress may be a risk factor for problematic social media use. However, findings concerning the relation between stress and social media use are mixed, suggesting the presence of moderators that may buffer the relation between stress and problematic social media use. Further, previous studies have relied on either cross-sectional designs or longitudinal designs that may not fully capture daily experiences of stressors and social media use. To overcome these limitations, the present study utilized a 7-day daily diary study to investigate the within-individual associations between daily stress and problematic social media use. …

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Enhancing Stance Classification On Social Media Using Quantified Moral Foundations, Hong Zhang, Quoc-Nam Nguyen, Prasanta Bhattacharya, Wei Gao, Liang Ze Wong, Brandon Siyuan Loh, Joseph J. P. Simons, Jisun An Sep 2024

Enhancing Stance Classification On Social Media Using Quantified Moral Foundations, Hong Zhang, Quoc-Nam Nguyen, Prasanta Bhattacharya, Wei Gao, Liang Ze Wong, Brandon Siyuan Loh, Joseph J. P. Simons, Jisun An

Research Collection School Of Computing and Information Systems

This study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals’ moral foundations. These theoretically-derived dimensions aim to provide an interpretable profile of an individual’s moral concerns which, in recent work, has been linked to behaviour in a range of domains including society, politics, health, and the environment. In this paper, we investigate how moral foundation dimensions can contribute to detecting an individual’s stance on a given target. Specifically, we incorporate moral foundation features extracted from text, along with semantic features, to classify stances at both message-and user-levels using traditional machine learning and Large Language Models …

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Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang Jul 2024

Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

In the age of rapid internet expansion, social media platforms like Twitter have become crucial for sharing information, expressing emotions, and revealing intentions during crisis situations. They offer crisis responders a means to assess public sentiment, attitudes, intentions, and emotional shifts by monitoring crisis-related tweets. To enhance sentiment and emotion classification, we adopt a transformer-based multi-task learning (MTL) approach with attention mechanism, enabling simultaneous handling of both tasks, and capitalizing on task interdependencies. Incorporating attention mechanism allows the model to concentrate on important words that strongly convey sentiment and emotion. We compare three baseline models, and our findings show that …

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From Tweets To Token Sales: Assessing Ico Success Through Social Media Sentiments, Donghao Huang, S. Samuel, Quoc Toan Huynh, Zhaoxia Wang May 2024

From Tweets To Token Sales: Assessing Ico Success Through Social Media Sentiments, Donghao Huang, S. Samuel, Quoc Toan Huynh, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

With the advent of social network technology, the influence of collective opinions has significantly impacted business, marketing, and fundraising. Particularly in the blockchain space, Initial Coin Offerings (ICOs) gain substantial exposure across various online platforms. Yet, the intricate relationships among these elements remain largely unexplored. This study aims to investigate the relationships between social media sentiment, engagement metrics, and ICO success. We hypothesize a positive correlation between favorable sentiment in ICO-related tweets and overall project success. Additionally, we recognize social media engagement indicators (mentions, retweets, likes, follower counts) as critical factors affecting ICO performance. Employing machine learning techniques, we conduct …

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Untangling Influence: The Effect Of Follower-Followee Comparison On Social Media Engagement, Yi Peng, Liling Lu May 2024

Untangling Influence: The Effect Of Follower-Followee Comparison On Social Media Engagement, Yi Peng, Liling Lu

Research Collection Lee Kong Chian School Of Business

Social media platforms and marketers are keen on identifying truly influential creators. Number of followers (i.e., those who follow creators) and number of followees (i.e., those who are followed by creators) serve as cues to infer creators' influence. However, a cue of creators' actual influence is under-addressed and its effect on social media engagement remains to be explored. This research fills the gap in the literature by investigating how the cue of creators' actual influence (i.e., follower-followee comparison) may affect followers' engagement behavior. The study further examines the moderation effects of media-, topic-, and creator-related factors. The present work leverages …

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Towards Explainable Harmful Meme Detection Through Multimodal Debate Between Large Language Models, Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang May 2024

Towards Explainable Harmful Meme Detection Through Multimodal Debate Between Large Language Models, Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang

Research Collection School Of Computing and Information Systems

The age of social media is flooded with Internet memes, necessitating a clear grasp and effective identification of harmful ones. This task presents a significant challenge due to the implicit meaning embedded in memes, which is not explicitly conveyed through the surface text and image. However, existing harmful meme detection methods do not present readable explanations that unveil such implicit meaning to support their detection decisions. In this paper, we propose an explainable approach to detect harmful memes, achieved through reasoning over conflicting rationales from both harmless and harmful positions. Specifically, inspired by the powerful capacity of Large Language Models …

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My Github Sponsors Profile Is Live!": Investigating The Impact Of Twitter/X Mentions On Github Sponsors, Youmei Fan, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto Apr 2024

My Github Sponsors Profile Is Live!": Investigating The Impact Of Twitter/X Mentions On Github Sponsors, Youmei Fan, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto

Research Collection School Of Computing and Information Systems

GitHub Sponsors was launched in 2019, enabling donations to opensource software developers to provide financial support, as per GitHub’s slogan: “Invest in the projects you depend on”. However, a 2022 study on GitHub Sponsors found that only two-fifths of developers who were seeking sponsorship received a donation. The study found that, other than internal actions (such as offering perks to sponsors), developers had advertised their GitHub Sponsors profiles on social media, such as Twitter (also known as X). Therefore, in this work, we investigate the impact of tweets that contain links to GitHub Sponsors profiles on sponsorship, as well as …

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Does The Use Of Media And Other Information Sources Cause The Perceived Experience Of Climate Change Or Is It The Other Way Around?, Sonny Rosenthal, Pengya Ai Apr 2024

Does The Use Of Media And Other Information Sources Cause The Perceived Experience Of Climate Change Or Is It The Other Way Around?, Sonny Rosenthal, Pengya Ai

Research Collection College of Integrative Studies

The perceived experience of climate change can be an important motivator of individual climate action. Recent scholarship argued that the use of media and other information sources is a basis of perceived experience. The current study analyzed a cross-lagged panel model to know if the use of information causes perceived experience or vice versa. Analysis of longitudinal data from a sample of Singapore residents (N = 466) showed that the use of traditional media, but not social media or interpersonal sources, explained change in perceived experience. In contrast, perceived experience explained change in the use of traditional media and interpersonal …

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A Four-Level Meta-Analytic Review Of The Relationship Between Social Media And Well-Being: A Fresh Perspective In The Context Of Covid-19, Joax Wong, Xin Yi Poh, Frosch Quek, Verity Lua, Nadyannam M. Majeed, Andree Hartanto Apr 2024

A Four-Level Meta-Analytic Review Of The Relationship Between Social Media And Well-Being: A Fresh Perspective In The Context Of Covid-19, Joax Wong, Xin Yi Poh, Frosch Quek, Verity Lua, Nadyannam M. Majeed, Andree Hartanto

Research Collection School of Social Sciences

Social media, one of the most pervasive forms of technology, has been widely studied in relation to the mental health and well-being of individuals. However, the current literature on social media and well-being has provided mixed and inconclusive findings, thus creating a polarizing view of social media. These mixed findings continue to extend into the pandemic, with researchers debating over the effects of social media in the new norms of social isolation. In light of these inconclusive findings, the aim of our meta-analysis was to synthesize previous research data in order to have a holistic understanding of the association between …

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Leveraging Instagram To Enhance Self-Esteem: A Self-Affirmative Intervention Study And Multilevel Mediation Analysis, Shuna Shiann Khoo, Hwajin Yang, Wei Xing Toh Jan 2024

Leveraging Instagram To Enhance Self-Esteem: A Self-Affirmative Intervention Study And Multilevel Mediation Analysis, Shuna Shiann Khoo, Hwajin Yang, Wei Xing Toh

Research Collection School of Social Sciences

Although studies have consistently indicated that heavier use of social networking sites (SNS) perpetuates poorer self-esteem outcomes, no study has examined potential intervention methods that can yield positive effects from SNS use. We hypothesized that viewing one's Instagram profile would have self-affirmative effects on self-perception because the profile typically showcases curated instrumental positive aspects of self. Furthermore, these self-affirmative effects would indirectly improve state self-esteem via enhanced clarity of self-concept. To test our hypothesis, we designed an experimental intervention study where one group viewed their Instagram profile regularly, while another group viewed a neutral abstract art profile. Using multilevel latent …

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Social Media And Performative Parenting, Sun Sun Lim, Yang Wang Jan 2024

Social Media And Performative Parenting, Sun Sun Lim, Yang Wang

Research Collection College of Integrative Studies

With the intensifying use of social media in many realms of everyday life, even parenting is manifesting a public dimension. Whereas one might regard parenting as a private activity undertaken within the home, the use of social media to highlight the joys and trials of child-rearing has put parenting under the digital spotlight. Parents are keen to showcase their children’s growth and development to family and friends. Significant achievements invite praise and social endorsement, as well as commendations for excellent parenting. The sharing of parenting struggles over social media can also elicit expressions of commiseration, sympathy and support. The ensuing …

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Transformer-Based Multi-Task Learning For Crisis Actionability Extraction, Yuhao Zhang, Siaw Ling Lo, Phyo Yi Win Myint Dec 2023

Transformer-Based Multi-Task Learning For Crisis Actionability Extraction, Yuhao Zhang, Siaw Ling Lo, Phyo Yi Win Myint

Research Collection School Of Computing and Information Systems

Social media has become a valuable information source for crisis informatics. While various methods were proposed to extract relevant information during a crisis, their adoption by field practitioners remains low. In recent fieldwork, actionable information was identified as the primary information need for crisis responders and a key component in bridging the significant gap in existing crisis management tools. In this paper, we proposed a Crisis Actionability Extraction System for filtering, classification, phrase extraction, severity estimation, localization, and aggregation of actionable information altogether. We examined the effectiveness of transformer-based LSTM-CRF architecture in Twitter-related sequence tagging tasks and simultaneously extracted actionable …

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