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- research-articleOctober 2024
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
Digital Threats: Research and Practice (DTRAP), Volume 5, Issue 3Article No.: 24, Pages 1–29https://doi.org/10.1145/3670694Recent 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-articleSeptember 2024
The Role of Social Media Platforms in Forecasting Elections: A Comparison of Twitter and Facebook
Digital Government: Research and Practice (DGOV), Volume 5, Issue 3Article No.: 19, Pages 1–15https://doi.org/10.1145/3651227Prior literature shows that social media could be used to forecast political elections. Most studies have focused on a single social media platform, and few studies have explored the use of social media data across multiple platforms to make election ...
- research-articleSeptember 2024
Using ChatGPT in Content Marketing: Enhancing Users’ Social Media Engagement in Cross-Platform Content Creation through Generative AI
HT '24: Proceedings of the 35th ACM Conference on Hypertext and Social MediaPages 376–383https://doi.org/10.1145/3648188.3675142As the integration of artificial intelligence into social media continues to attract attention, the key impacts on content marketing are still undefined. Initial studies have shown that language models are capable of producing content that is ...
- 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 SecurityArticle 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 ...
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- research-articleSeptember 2024
History-Related Content Recommendation in Social Networks Based on User's Interest Estimation
JCDL '23: Proceedings of the 2023 ACM/IEEE Joint Conference on Digital LibrariesPages 247–248https://doi.org/10.1109/JCDL57899.2023.00045Knowing and analyzing the events of the past is important as it allows us to understand the formation process of modern society. Twitter users are able to acquire and share information of their interests including also content on history. We propose an ...
- 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 2024Pages 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 ResearchPages 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 ...
- 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 ConferencePages 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 ConferencePages 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 ConferencePages 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 ConferencePages 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 ...
- research-articleMay 2024
The Dynamics of (Not) Unfollowing Misinformation Spreaders
WWW '24: Proceedings of the ACM Web Conference 2024Pages 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 2024 CHI Conference on Human Factors in Computing SystemsArticle 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 ...
- research-articleMay 2024
Counting Carrds: Investigating Personal Disclosure and Boundary Management in Transformative Fandom
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 575, Pages 1–13https://doi.org/10.1145/3613904.3642664The privacy practices of transformative fandom are of interest to HCI researchers both for the community’s high proportion of queer members and for the community’s sophisticated privacy norms and behaviors. We investigated fans’ use of single-serving ...
- research-articleJanuary 2024
User Interest Identification with Social Media Information using Natural Language and Meta-Heuristic Technique
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 1Article No.: 10, Pages 1–17https://doi.org/10.1145/3579165As the number of Internet users and social networking apps has grown in recent years, interest-based recommendation systems have been more commonly used in practice. Given the vast quantity of data available from LinkedIn and Twitter, as well as the ...
- research-articleJanuary 2024
To Reply or to Quote: Comparing Conversational Framing Strategies on Twitter
- Himanshu Zade,
- Spencer Williams,
- Theresa T. Tran,
- Christina Smith,
- Sukrit Venkatagiri,
- Gary Hsieh,
- Kate Starbird
ACM Journal on Computing and Sustainable Societies (ACMJCSS), Volume 2, Issue 1Article No.: 9, Pages 1–27https://doi.org/10.1145/3625680Social media platform affordances allow users to interact with content and with each other in diverse ways. For example, on Twitter,1 users can like, reply, retweet, or quote another tweet. Though it’s clear that these different features allow various ...
- research-articleJanuary 2024
Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic
ACM Transactions on the Web (TWEB), Volume 18, Issue 1Article No.: 15, Pages 1–23https://doi.org/10.1145/3635033The outbreak of the COVID-19 pandemic triggered the perils of misinformation over social media. By amplifying the spreading speed and popularity of trustworthy information, influential social media users have been helping overcome the negative impacts of ...
- research-articleJanuary 2024
Context-aware Community Detection in the Russia-Ukraine Conflict Network
ICDCN '24: Proceedings of the 25th International Conference on Distributed Computing and NetworkingPages 328–333https://doi.org/10.1145/3631461.3632089Community detection in online social networks is a challenging field of research. The involvement of context information in online user interactions enhances the challenge of effective community detection. The proposed work addresses this challenge by ...
- research-articleJanuary 2024
Analysing the Spread of Toxicity on Twitter
CODS-COMAD '24: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)Pages 118–126https://doi.org/10.1145/3632410.3632436The spread of hate speech on social media platforms has become a rising concern in recent years. Understanding the spread of hate is crucial for mitigating its harmful effects and fostering a healthier online environment. In this paper, we propose a new ...