Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (266)
- Computer Sciences (264)
- Databases and Information Systems (202)
- Numerical Analysis and Scientific Computing (87)
- Business (69)
-
- Psychology (26)
- Communication Technology and New Media (24)
- Asian Studies (21)
- International and Area Studies (21)
- Social Psychology (17)
- Business and Corporate Communications (16)
- Social Influence and Political Communication (16)
- Engineering (15)
- Computer Engineering (14)
- Artificial Intelligence and Robotics (13)
- Marketing (13)
- Software Engineering (13)
- Sociology (11)
- Digital Communications and Networking (10)
- E-Commerce (9)
- Graphics and Human Computer Interfaces (9)
- Accounting (7)
- Medicine and Health Sciences (6)
- Arts and Humanities (5)
- Organizational Behavior and Theory (5)
- Social Psychology and Interaction (5)
- Theory and Algorithms (5)
- Keyword
-
- Social media (92)
- Twitter (54)
- Facebook (16)
- Social network (15)
- Social Media (13)
-
- Machine learning (11)
- Sentiment analysis (10)
- Social networks (10)
- Singapore (9)
- Data mining (8)
- Microblogging (8)
- Instagram (7)
- Social networking (6)
- Fake news (5)
- Homophily (5)
- Privacy (5)
- Analytics (4)
- Demographics (4)
- Executive functions (4)
- Marketing (4)
- Opinion mining (4)
- Problematic social media use (4)
- Social influence (4)
- Topic model (4)
- Tweet geolocation (4)
- User behavior (4)
- User engagement (4)
- Well-being (4)
- COVID-19 (3)
- Covid-19 (3)
- Publication Year
- Publication
-
- Research Collection School Of Computing and Information Systems (249)
- Research Collection Lee Kong Chian School Of Business (35)
- Research Collection School of Social Sciences (29)
- Perspectives@SMU (21)
- Dissertations and Theses Collection (Open Access) (19)
-
- Research Collection College of Integrative Studies (14)
- Research Collection School Of Accountancy (7)
- Social Space (4)
- Asian Management Insights (3)
- Dissertations and Theses Collection (3)
- Research Collection School Of Economics (3)
- Research Collection Library (2)
- Research Collection Yong Pung How School Of Law (2)
- Research Collection Lee Kong Chian School of Business (1)
- Publication Type
Articles 61 - 90 of 392
Full-Text Articles in Social Media
Themes, Communities And Influencers Of Online Probiotics Chatter: A Retrospective Analysis From 2009-2017, Santosh Vijaykumar, Aravind Sesagiri Raamkumar, Kristofor Mccarty, Cuthbert Mutumbwa, Jawwad Mustafa, Cyndy Au
Themes, Communities And Influencers Of Online Probiotics Chatter: A Retrospective Analysis From 2009-2017, Santosh Vijaykumar, Aravind Sesagiri Raamkumar, Kristofor Mccarty, Cuthbert Mutumbwa, Jawwad Mustafa, Cyndy Au
Research Collection Lee Kong Chian School Of Business
We build on recent examinations questioning the quality of online information about probiotic products by studying the themes of content, detecting virtual communities and identifying key influencers in social media using data science techniques. We conducted topic modelling (n = 36,715 tweets) and longitudinal social network analysis (n = 17,834 tweets) of probiotic chatter on Twitter from 2009–17. We used Latent Dirichlet Allocation (LDA) to build the topic models and network analysis tool Gephi for building yearly graphs. We identified the top 10 topics of probiotics-related communication on Twitter and a constant rise in communication activity. However the number of …
Distressing For People’S Lives When Lights Go Off During Facebook Outage, Ramaswami, S.
Distressing For People’S Lives When Lights Go Off During Facebook Outage, Ramaswami, S.
Research Collection Lee Kong Chian School Of Business
The rise of the super app has changed our lives – and livelihoods – as many of us depend on these social media sites to make a living. Are there alternatives or are we always going to be held hostage? SMU’s Seshan Ramaswami gives his take.
The Moderating Role Of Social Network Size On Social Media Use And Self-Esteem: An Evolutionary Mismatch Perspective, Amy J. Lim, Clement Yong Hao Lau, Norman P. Li
The Moderating Role Of Social Network Size On Social Media Use And Self-Esteem: An Evolutionary Mismatch Perspective, Amy J. Lim, Clement Yong Hao Lau, Norman P. Li
Research Collection School of Social Sciences
Existing meta-analyses have shown that the relationship between social media use and self-esteem is negative, but at very small effect sizes, suggesting the presence of moderators that change the relationship between social media use and self-esteem. Employing principles from social comparison and evolutionary mismatch theories, we propose that the social network sizes one has on social media play a key role in the relationship between social media use and self-esteem. In our study (N = 123), we showed that social media use was negatively related to self-esteem, but only when their social network size was within an evolutionarily familiar level. …
Precision Public Health Campaign: Delivering Persuasive Messages To Relevant Segments Through Targeted Advertisements On Social Media, Jisun An, Haewoon Kwak, Hanya M. Qureshi, Ingmar Weber
Precision Public Health Campaign: Delivering Persuasive Messages To Relevant Segments Through Targeted Advertisements On Social Media, Jisun An, Haewoon Kwak, Hanya M. Qureshi, Ingmar Weber
Research Collection School Of Computing and Information Systems
Although established marketing techniques have been applied to design more effective health campaigns, more often than not, the same message is broadcasted to large populations, irrespective of unique characteristics. As individual digital device use has increased, so have individual digital footprints, creating potential opportunities for targeted digital health interventions. We propose a novel precision public health campaign framework to structure and standardize the process of designing and delivering tailored health messages to target particular population segments using social media–targeted advertising tools. Our framework consists of five stages: defining a campaign goal, priority audience, and evaluation metrics; splitting the target audience …
Public Sentiment Is Everything: Host-Country Public Sentiment Toward Home Country And Acquisition Ownership During Institutional Transition, Daphne W. Yiu, William P. Wan, Kelly Xing Chen, Xiaocong Tian
Public Sentiment Is Everything: Host-Country Public Sentiment Toward Home Country And Acquisition Ownership During Institutional Transition, Daphne W. Yiu, William P. Wan, Kelly Xing Chen, Xiaocong Tian
Research Collection Lee Kong Chian School Of Business
Under strict scrutiny of public governance primed by international relation tensions, geopolitics, and the rise of social movements and public activism in the globalized economy, public sentiment is exerting increasing pressure on multinational corporations (MNCs). Utilizing the context of inward acquisition, a sensitive cross-border action that often triggers sentiment of host-country nationals, we theorize from the public sentiment perspective and the public thermostat analogy that foreign acquirers will adjust their ownership levels in target firms according to how they perceive to be acceptable and legitimate as expressed by host-country nationals' public sentiment toward their home country. Using a sample of …
Online Review Solicitations Reduce Extremity Bias In Online Review Distributions And Increase Their Representativeness, Hülya Karaman
Online Review Solicitations Reduce Extremity Bias In Online Review Distributions And Increase Their Representativeness, Hülya Karaman
Research Collection Lee Kong Chian School Of Business
Representative online customer reviews are critical to the effective functioning of the Internet economy. In this study, I investigate the representativeness of online review distributions to examine how extremity bias and conformity impact it, and explore whether online review solicitations alter representativeness. Past research on extreme distribution of online ratings commonly relied solely on observed public online ratings. One strength of the current paper is that I observe the private satisfaction ratings of customers regardless of whether they choose to write an online review or not. I show that both extremity bias and conformity exist in unsolicited online word-of-mouth (WOM) …
How-To Present News On Social Media: A Causal Analysis Of Editing News Headlines For Boosting User Engagement, Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla
How-To Present News On Social Media: A Causal Analysis Of Editing News Headlines For Boosting User Engagement, Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla
Research Collection School Of Computing and Information Systems
To reach a broader audience and optimize traffic toward news articles, media outlets commonly run social media accounts and share their content with a short text summary. Despite its importance of writing a compelling message in sharing articles, the research community does not own a sufficient understanding of what kinds of editing strategies effectively promote audience engagement. In this study, we aim to fill the gap by analyzing media outlets' current practices using a data-driven approach. We first build a parallel corpus of original news articles and their corresponding tweets that eight media outlets shared. Then, we explore how those …
On Predicting Personal Values Of Social Media Users Using Community-Specific Language Features And Personal Value Correlation, Amila Silva, Pei Chi Lo, Ee-Peng Lim
On Predicting Personal Values Of Social Media Users Using Community-Specific Language Features And Personal Value Correlation, Amila Silva, Pei Chi Lo, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Personal values have significant influence on individuals’ behaviors, preferences, and decision making. It is therefore not a surprise that personal values of a person could influence his or her social media content and activities. Instead of getting users to complete personal value questionnaire, researchers have looked into a non-intrusive and highly scalable approach to predict personal values using user-generated social media data. Nevertheless, geographical differences in word usage and profile information are issues to be addressed when designing such prediction models. In this work, we focus on analyzing Singapore users’ personal values, and developing effective models to predict their personal …
Non-Fungible Tokens (Nfts): A Turning Point For Digital Content Creators And Artists?, Eric Lim
Non-Fungible Tokens (Nfts): A Turning Point For Digital Content Creators And Artists?, Eric Lim
Perspectives@SMU
While NFTs may seem like a fad, they are revolutionising how digital content creators and artists create new business models
Kobe Influencer Marketing: Using Social Media To Promote A Herbal Tea Brand, Patricia Lui, Lipika Bhattacharya
Kobe Influencer Marketing: Using Social Media To Promote A Herbal Tea Brand, Patricia Lui, Lipika Bhattacharya
Asian Management Insights
In July 2019, Evangeline Leong, co-founder and CEO of Kobe, a Singapore-based start-up providing influencer marketing services, had a challenging task ahead of her.
More Kawaii Than A Real-Person Live Streamer: Understanding How The Otaku Community Engages With And Perceives Virtual Youtubers, Zhicong Lu, Chenxinran Shen, Jiannan Li, Hong Shen, Daniel Wigdor
More Kawaii Than A Real-Person Live Streamer: Understanding How The Otaku Community Engages With And Perceives Virtual Youtubers, Zhicong Lu, Chenxinran Shen, Jiannan Li, Hong Shen, Daniel Wigdor
Research Collection School Of Computing and Information Systems
Live streaming has become increasingly popular, with most streamers presenting their real-life appearance. However, Virtual YouTubers (VTubers), virtual 2D or 3D avatars that are voiced by humans, are emerging as live streamers and attracting a growing viewership in East Asia. Although prior research has found that many viewers seek real-life interpersonal interactions with real-person streamers, it is currently unknown what makes VTuber live streams engaging or how they are perceived differently than real-person streamers. We conducted an interview study to understand how viewers engage with VTubers and perceive the identities of the voice actors behind the avatars (i.e., Nakanohito). The …
Angrybert: Joint Learning Target And Emotion For Hate Speech Detection, Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrović
Angrybert: Joint Learning Target And Emotion For Hate Speech Detection, Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrović
Research Collection School Of Computing and Information Systems
Automated hate speech detection in social media is a challenging task that has recently gained significant traction in the data mining and Natural Language Processing community. However, most of the existing methods adopt a supervised approach that depended heavily on the annotated hate speech datasets, which are imbalanced and often lack training samples for hateful content. This paper addresses the research gaps by proposing a novel multitask learning-based model, AngryBERT, which jointly learns hate speech detection with sentiment classification and target identification as secondary relevant tasks. We conduct extensive experiments to augment three commonly-used hate speech detection datasets. Our experiment …
Lethal, Viral, Global: The Role Of Mobile Media And The Growing International Scourge Of Fake News, Gordon Kuo Siong Tan, Sun Sun Lim, Roy Kheng
Lethal, Viral, Global: The Role Of Mobile Media And The Growing International Scourge Of Fake News, Gordon Kuo Siong Tan, Sun Sun Lim, Roy Kheng
Research Collection College of Integrative Studies
The rising ubiquity of mobile-enabled devices has greatly accelerated the spread of online disinformation. Media production and dissemination capabilities are within easy reach of consumers, who may become key nodes in sharing fabricated information. Social media platforms’ advertisement-driven revenue models have encouraged the proliferation of viral and inflammatory content, where journalistic best practices are de-emphasized. Furthermore, opaque algorithms favor fake stories that elicit greater emotional responses from users. Increased deregulation has given mobile media companies considerable freedom over content moderation policies. Finally, emerging mobile technologies have enabled more sophisticated and richer forms of fabricated content to be circulated among a …
Fake News, Epistemic Coverage And Trust, Shane Ryan
Fake News, Epistemic Coverage And Trust, Shane Ryan
Research Collection School of Social Sciences
This article makes the case that a deficit or absence of trust in media sources to report on newsworthy items facilitates acceptance of fake news. The article begins by identifying the sort of fake news that is of interest for the purposes of this article. Epistemic coverage is then explained-in particular, how an individual's expectations about their epistemic environment can lead them to accepting or rejecting claims. The article explains that when an individual believes that mainstream media report on what is deemed newsworthy, it follows that an individual will have grounds to dismiss a newsworthy claim that has not …
Escape From An Echo Chamber, Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku
Escape From An Echo Chamber, Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku
Research Collection School Of Computing and Information Systems
An echo chamber effect refers to the phenomena that online users revealed selective exposure and ideological segregation on political issues. Prior studies indicate the connection between the spread of misinformation and online echo chambers. In this paper, to help users escape from an echo chamber, we propose a novel news-analysis platform that provides a panoramic view of stances towards a particular event from different news media sources. Moreover, to help users better recognize the stances of news sources which published these news articles, we adopt a news stance classification model to categorize their stances into “agree”, “disagree”, “discuss”, or “unrelated” …
"Doing It For The 'Gram?" The Representational Politics Of Popular Humanitarianism, Orlando Woods, Siew Ying Shee
"Doing It For The 'Gram?" The Representational Politics Of Popular Humanitarianism, Orlando Woods, Siew Ying Shee
Research Collection School of Social Sciences
This paper explores how digital photography – the practice of taking pictures and sharing them via social media – can give rise to representational politics. These politics are pronounced when disadvantaged people and places are the objects of digital representation, as they become (dis)empowered by being implicated in the affective economy of difference. Empirically, we examine the representational practices that Singaporean voluntourists, and companies that organise overseas humanitarian projects, engage in. We highlight how their motivations for engaging with these projects can be obfuscated by the opportunity to generate influence on Instagram, which can then shape the practice of popular …
Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective, Andree Hartanto, Frosch Yi Xuan Quek, Yue Qi Germaine Tng, Jose C. Yong
Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective, Andree Hartanto, Frosch Yi Xuan Quek, Yue Qi Germaine Tng, Jose C. Yong
Research Collection School of Social Sciences
According to the World Health Organization (1), 264 million individuals worldwide suffer from depression—a condition characterized by feelings of low self-worth, impaired concentration, and disturbed sleep, among various other maladaptive symptoms (2). Adolescents between 13 and 18 years of age are also vulnerable (3), with a 52% increase in the prevalence of depression among adolescents from 2005 to 2017 (4). Depression is tied to many serious problems including failure to complete education, higher unplanned parenthood rates, poorer interpersonal relations, and heightened risk of substance abuse and suicidality (5–7).
Chronic Customers Or Increased Awareness? The Dynamics Of Social Media Customer Service, Shujing Sun, Yang Gao, Huaxia Rui
Chronic Customers Or Increased Awareness? The Dynamics Of Social Media Customer Service, Shujing Sun, Yang Gao, Huaxia Rui
Research Collection School Of Computing and Information Systems
Despite that social media has become a promising alternative to traditional call centers, managers hesitate to fully harness its power because they worry that active service intervention may encourage excessive use of the channel by disgruntled customers. This paper sheds light on such a concern by examining the dynamics between brand-level customer complaints and service interventions on social media. Using details of customer-brand interactions of 40 airlines on Twitter, we find that more service interventions indeed cause more customer complaints, accounting for the online customer population and service quality. However, the increased complaints are primarily driven by the awareness enhancement …
Analyzing Tweets On New Norm: Work From Home During Covid-19 Outbreak, Swapna Gottipati, Kyong Jin Shim, Hui Hian Teo, Karthik Nityanand, Shreyansh Shivam
Analyzing Tweets On New Norm: Work From Home During Covid-19 Outbreak, Swapna Gottipati, Kyong Jin Shim, Hui Hian Teo, Karthik Nityanand, Shreyansh Shivam
Research Collection School Of Computing and Information Systems
The COVID-19 pandemic triggered a large-scale work-from-home trend globally in recent months. In this paper, we study the phenomenon of “work-from-home” (WFH) by performing social listening. We propose an analytics pipeline designed to crawl social media data and perform text mining analyzes on textual data from tweets scrapped based on hashtags related to WFH in COVID-19 situation. We apply text mining and NLP techniques to analyze the tweets for extracting the WFH themes and sentiments (positive and negative). Our Twitter theme analysis adds further value by summarizing the common key topics, allowing employers to gain more insights on areas of …
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 …
Adelaidecyc At Semeval-2020 Task 12: Ensemble Of Classifiers For Offensive Language Detection In Social Media, Mahen Herath, Thushari Atapattu, Hoang Anh Dung, Christoph Treude, Katrina Falkner
Adelaidecyc At Semeval-2020 Task 12: Ensemble Of Classifiers For Offensive Language Detection In Social Media, Mahen Herath, Thushari Atapattu, Hoang Anh Dung, Christoph Treude, Katrina Falkner
Research Collection School Of Computing and Information Systems
This paper describes the systems our team (AdelaideCyC) has developed for SemEval Task 12 (OffensEval 2020) to detect offensive language in social media. The challenge focuses on three subtasks – offensive language identification (subtask A), offense type identification (subtask B), and offense target identification (subtask C). Our team has participated in all the three subtasks. We have developed machine learning and deep learning-based ensembles of models. We have achieved F1-scores of 0.906, 0.552, and 0.623 in subtask A, B, and C respectively. While our performance scores are promising for subtask A, the results demonstrate that subtask B and C still …
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 …
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.
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.
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, …
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, …
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.
A Tripartite Model Of Trust In Facebook: Acceptance Of Information Personalization, Privacy Concern, And Privacy Literacy, Sonny Rosenthal, Ole-Christian Wasenden, Gorm-Andreas Gronnevet, Rich Ling
A Tripartite Model Of Trust In Facebook: Acceptance Of Information Personalization, Privacy Concern, And Privacy Literacy, Sonny Rosenthal, Ole-Christian Wasenden, Gorm-Andreas Gronnevet, Rich Ling
Research Collection College of Integrative Studies
This study draws on the mental accounting perspective and a tripartite model of trust to explain why users trust Facebook. We argue that trust in Facebook is related to (1) trust in companies that collect personal data, (2) acceptance of information personalization, (3) low privacy concern, and (4) low privacy literacy. Further, we argue that privacy literacy amplifies the relationship between privacy concern and the other factors. This is because, among individuals with high privacy literacy, privacy concern is especially diagnostic of the potential harms of a loss of privacy. These arguments align broadly with theorizations about factors influencing privacy-related …
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.