Ephemerality as Stigma in Algorithmic Contexts: Moderation and User-Driven Deletion of Nonsuicidal Self-Injury Content on TikTok
This study examines how nonsuicidal self-injury content disappears from TikTok through user deletion and platform moderation, showing how stigma shapes what remains visible online.
Tied In on TikTok: Tie Strength and Emotional Dynamics in Algorithmic Communities
This paper examines how repeated interactions on TikTok can give rise to community-like relationships around eating disorder content.
Can small and reasoning large language models score journal articles for research quality and do averaging and few-shot help?
This study examines whether smaller and reasoning-focused language models can reliably score the quality of journal articles, finding that medium-sized models perform comparably to larger systems, score averaging helps, and reasoning models offer no clear advantage.
Is generative AI reshaping academic practices worldwide? A survey of adoption, benefits, and concerns
Generative AI is reshaping higher education, offering new possibilities for teaching and research. At the same time, its adoption raises ongoing concerns about ethics and academic integrity.
Who is a scientist? Gender and racial biases of visual representations in Google Vision AI
This study examines how AI-based vision systems may reproduce or amplify social biases in visual representations of scientists.
AI for Library and Information Science (AI4LIS) Towards a Research Agenda
This paper outlines a research agenda for integrating AI methods and human-centered perspectives in library and information science.
Cutting through the noise to motivate people COVID-19 social media posts demotivating vaccination
This study analyzes social media content related to COVID-19 vaccination, focusing on linguistic patterns that influence motivation and hesitancy.
Public interest in science or bots Selective amplification of scientific articles on Twitter
This study investigates selective amplification of scientific articles on Twitter and examines signals consistent with automated activity.
Assessment of accuracy, user engagement, and themes of eating disorder content in short videos
This study evaluates the accuracy, themes, and engagement patterns of eating disorder related content in short-form video platforms.
Mapping the structure and evolution of software testing research over the past three decades An extensive systematic mapping study
A large-scale mapping study that synthesizes software testing research trends, topics, and collaboration patterns over three decades.
Readership data and research impact
A chapter discussing readership signals and their role in understanding research impact beyond citations.
The mutual influence of the World Health Organization and Twitter users during COVID-19 Network agenda-setting analysis
A network agenda-setting analysis of the mutual relationship between WHO communications and Twitter users during COVID-19.
Exploring research trends in big data across disciplines A text mining analysis
A text mining study that maps how big data research has evolved across multiple disciplines.
Social media discussions on the FDA modified risk tobacco product authorization of IQOS
An analysis of social media discourse following FDA authorization related to IQOS and modified risk claims.
Identifying frames and measuring public attention to infodemic on Twitter using big data analytics
A framing analysis of COVID-19 related hashtags and public attention patterns using large-scale Twitter data.
Framing of and attention to COVID-19 on Twitter Thematic analysis of hashtags
A thematic analysis of COVID-19 hashtags to understand framing and attention dynamics on Twitter.
Which health and biomedical topics generate the most Facebook interest and the strongest citation relationships
An analysis linking Facebook engagement patterns with citation relationships across health and biomedical topics.
Wine research in Web of Science and Google Scholar A bibliometric assessment
A bibliometric comparison of wine research coverage and citation patterns across major scholarly databases.
Who shares health and medical scholarly information on Facebook
An analysis of who shares scholarly health and medical information on Facebook and how sharing varies across communities.
Academic information on Twitter A user survey
A survey-based study of how scholars use Twitter for academic information sharing and discovery.
Life never matters in the Democrats mind Analysing social bots on Twitter during the Parkland massacre
An analysis of social bots and political framing on Twitter during the Parkland shooting discourse.
A scientometric analysis of the collaboration between biomedical research institutions and hospitals
A scientometric study of collaboration patterns between biomedical research institutions and hospitals.
Can Mendeley bookmarks reflect readership A survey of user motivations
A survey-based analysis of why researchers save articles in Mendeley and what readership counts may represent.
Relationship between citation counts and Mendeley readership metrics in various subject fields
An analysis of the relationship between citation counts and Mendeley readership across subject areas.
Who reads research articles An altmetrics analysis of Mendeley user categories
An altmetrics analysis using Mendeley readership categories to understand who reads research articles.
Mendeley readership altmetrics for the social sciences and humanities Research evaluation and knowledge flows
A study of Mendeley readership as an altmetrics signal for social sciences and humanities and its implications for evaluation.
Assessing non-standard article impact using F1000 labels
An evaluation of F1000 labels as a complementary signal for assessing research impact beyond citations.
Knowledge mapping of the Iranian nanoscience and technology A text mining approach
A text mining approach to mapping and visualizing Iranian nanoscience and technology research outputs.
