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- research-articleAugust 2024
A Two-Step Method for Classifying Political Partisanship Using Deep Learning Models
Social Science Computer Review (SSCR), Volume 42, Issue 4Aug 2024, Pages 961–976https://doi.org/10.1177/08944393231219685Political partisanship constitutes a pivotal group identity that significantly influences individuals’ voting behaviors and shapes their ideological and cultural perspectives. While traditional surveys and experimental studies can directly capture ...
- research-articleJuly 2024
Blue Skies from (X?s) Pain: A Digital Forensic Analysis of Threads and Bluesky
ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and SecurityJuly 2024, Article No.: 201, Pages 1–12https://doi.org/10.1145/3664476.3670904This paper presents a comprehensive digital forensic analysis of the social media platforms Threads and Bluesky, juxtaposing their unique architectures and functionalities against X. This research fills a gap in the extant literature by offering a novel ...
- research-articleJuly 2024
Critical Climate Machine: A Visual and Musical Exploration of Climate Misinformation through Machine Learning
Proceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), Volume 7, Issue 4Article No.: 56, Pages 1–11https://doi.org/10.1145/3664215Critical Climate Machine is a cutting-edge media art installation that critically exposes and quantifies mechanisms of climate change misinformation. Utilizing computational aesthetics across data, imagery, and sound, this work processes real-time data ...
- research-articleJuly 2024
Intelligent risk management system for enhancing performance of stock market applications
Expert Systems with Applications: An International Journal (EXWA), Volume 249, Issue PASep 2024https://doi.org/10.1016/j.eswa.2024.123493AbstractThis paper proposes an intelligent risk management system in stock markets based on indications of social media platforms. Based on a brief survey, we found that the literature focuses on identifying, assessing and optimizing risks in stock ...
- research-articleJuly 2024
Behavior Based Group Recommendation from Social Media Dataset by Using Deep Learning and Topic Modeling
- Md. Saddam Hossain Mukta,
- Jubaer Ahmed,
- Mohaimenul Azam Khan Raiaan,
- Nur Mohammad Fahad,
- Muhammad Nazrul Islam,
- Nafiz Imtiaz,
- Md. Adnanul Islam,
- Mohammed Eunus Ali,
- Sami Azam
AbstractIn this digital era, users frequently share their thoughts, preferences, and ideas through social media, which reflect their Basic Human Values. Basic Human Values (aka values) are the fundamental aspects of human behavior, which define what we ...
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- research-articleJuly 2024
Less is more: Pruning BERTweet architecture in Twitter sentiment analysis
Information Processing and Management: an International Journal (IPRM), Volume 61, Issue 4Jul 2024https://doi.org/10.1016/j.ipm.2024.103688AbstractTransformer-based models have been scaled up to account for absorbing more information and improve their performances. However, several studies have called attention to their overparametrization and the costs of experimenting with such huge ...
Highlights- Pruning method to Transformer-based models.
- BERTweet pruned models for the sentiment classification task.
- Methodology and extensive analysis to evaluate the finetuning on pruned models.
- research-articleJuly 2024
Detection of violence incitation expressions in Urdu tweets using convolutional neural network
Expert Systems with Applications: An International Journal (EXWA), Volume 245, Issue CJul 2024https://doi.org/10.1016/j.eswa.2024.123174AbstractThe popularity and widespread use of social media are constantly generating unmonitored data, spreading unwanted content such as hate speech and expressions that incite violence. Automatic detection of violence incitation is a challenging task ...
- ArticleJune 2024
Twittener: Improving News Experience with Sentiment Analysis and Trend Recommendation
Social Computing and Social MediaJun 2024, Pages 417–433https://doi.org/10.1007/978-3-031-61281-7_30AbstractThe Internet provides a profusion of online sources for both trending topics and news. With the vast content made available, it might risk readers in information overloading before finding all relevant contents and thus perceive this medium as ...
- research-articleAugust 2024
Authorship Profiling in Political Discourse on Twitter: Age and Gender Determination
CompSysTech '24: Proceedings of the International Conference on Computer Systems and Technologies 2024June 2024, Pages 82–86https://doi.org/10.1145/3674912.3674947Author profiling is one of the important subtasks of stylometry. Profiling helps us learn as much as possible about the person on the other side of the communication just by analysing their text. Through this, we can determine the gender, age, ...
- research-articleJune 2024
Brexit on Twitter: Unraveling the Dynamics of Polarization Over Time
dg.o '24: Proceedings of the 25th Annual International Conference on Digital Government ResearchJune 2024, Pages 855–866https://doi.org/10.1145/3657054.3657269This paper uses a mixed-methods approach to examine the evolving dynamics of polarization amongst Twitter users who discussed the UK’s withdrawal from the EU from February 2016 to February 2020. Unlike previous research that mainly focused on specific ...
- research-articleJune 2024JUST ACCEPTED
A Framework for Enhancing Social Media Misinformation Detection with Topical-Tactics
- Benjamin E. Bagozzi,
- Rajni Goel,
- Brunilda Lugo-De-Fabritz,
- Kelly Knickmeier-Cummings,
- Karthik Balasubramanian
Recent years have seen advancements in machine learning methods for the detection of misinformation on social media. Yet, these methods still often ignore or improperly incorporate key information on the topical-tactics used by misinformation agents. To ...
- research-articleJuly 2024
In Twitter we trust(ed): How perceptions of Twitter's helpfulness influence news post credibility perceptions and news engagement
Computers in Human Behavior (COHB), Volume 155, Issue CJun 2024https://doi.org/10.1016/j.chb.2024.108185AbstractThis study examines the impacts of news veracity, source credibility, collective social endorsement, and perceptions of Twitter's utility on perceived credibility of and engagement with social media news posts. We conducted a 2 (Veracity: real ...
Highlights- News veracity and source credibility influence assessments of post credibility.
- Social endorsement does not affect post credibility perceptions or behavioral intent.
- Twitter believers more likely perceive posts as credible and ...
- research-articleMay 2024
Bias in X (Twitter) and Telegram Based Intelligence Analysis: Exploring Challenges and Potential Mitigating Roles of AI
AbstractBias identification and mitigation in the social media ecosystem has been lately researched towards achieving a more efficient utilization of social media platforms for different stakeholders and purposes. Among these stakeholders, intelligence ...
- extended-abstractJune 2024
Validating Digital Traces with Survey Data: The Use Case of Religiosity
- Mehmet Fuat Kına,
- Şükrü Atsızelti,
- Zübeyir Nişancı,
- Erdem Yörük,
- Ali Hürriyetoğlu,
- Melih Can Yardı,
- Oğuz Gürerk,
- Tolga Etgü,
- Yusuf Akbulut,
- Fırat Duruşan,
- Gizem Bacaksızlar Turbic
Websci Companion '24: Companion Publication of the 16th ACM Web Science ConferenceMay 2024, Pages 56–59https://doi.org/10.1145/3630744.3660242This paper tests the validity of a digital trace database (Politus) obtained from Twitter, with a recently conducted representative social survey, focusing on the use case of religiosity in Turkey. Religiosity scores in the research are extracted using ...
- research-articleMay 2024
Uncovering Gender Bias within Journalist-Politician Interaction in Indian Twitter
WEBSCI '24: Proceedings of the 16th ACM Web Science ConferenceMay 2024, Pages 296–301https://doi.org/10.1145/3614419.3644030In this study we investigate gender bias within journalist politician interactions in India—a country in global south. Previous work identified gender bias in online political discourse, but they focused on global north and politician-general public ...
- research-articleMay 2024
Deciphering Crypto Twitter
- Inwon Kang,
- Maruf Ahmed Mridul,
- Abraham Sanders,
- Yao Ma,
- Thilanka Munasinghe,
- Aparna Gupta,
- Oshani Seneviratne
WEBSCI '24: Proceedings of the 16th ACM Web Science ConferenceMay 2024, Pages 331–342https://doi.org/10.1145/3614419.3644026Cryptocurrency is a fast-moving space, with a continuous influx of new projects every year. However, an increasing number of incidents in the space, such as hacks and security breaches, threaten the growth of the community and the development of ...
- research-articleMay 2024
Abortion and Miscarriage on Twitter: Sentiment and Polarity Analysis from a gendered perspective
- Olivier Philippe,
- María Flores Rodero,
- Claire Yohalem Furtick,
- Laura Planas Simón,
- Maria Teresa Ferretti,
- Antonella Santuccione Chadha,
- Laia Subirats Maté,
- Davide Cirillo,
- María José Rementeria
WEBSCI '24: Proceedings of the 16th ACM Web Science ConferenceMay 2024, Pages 311–319https://doi.org/10.1145/3614419.3644010In the global discourse on women’s reproductive rights, both miscarriage and abortion can be highly charged topics of discussion and are both at risk of being affected by stigmatisation and legal measures. Analysing the discussions on social media ...
- articleJune 2024
Lighthouse in the Mist: State Governors' Crisis Communication on Twitter During the Early Stage of the COVID-19 Pandemic
International Journal of Public Administration in the Digital Age (IJPADA), Volume 11, Issue 1May 2024, Pages 1–34https://doi.org/10.4018/IJPADA.344420Previous research has explored the interactions between public leaders and citizens through social media channels. However, there is a gap in our understanding regarding the communication of limited information to the public during times of crisis. This ...
- research-articleMay 2024
The Dynamics of (Not) Unfollowing Misinformation Spreaders
WWW '24: Proceedings of the ACM on Web Conference 2024May 2024, Pages 1115–1125https://doi.org/10.1145/3589334.3645445Many studies explore how people "come into" misinformation exposure. But much less is known about how people "come out of" misinformation exposure. Do people organically sever ties to misinformation spreaders? And what predicts doing so? Over six months, ...
Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing SystemsMay 2024, Article No.: 155, Pages 1–17https://doi.org/10.1145/3613904.3642840Conversational Agents (CAs) have increasingly been integrated into everyday life, sparking significant discussions on social media. While previous research has examined public perceptions of AI in general, there is a notable lack in research focused on ...