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Information Processing & Management | January 2026
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.
AI and Ethics. Β | May 2025
A study of Google Vision AI shows that images of scientists are more often labeled as male and white. This pattern suggests that AI tools can mirror social stereotypes present in their training data.
Proceedings of the Association for Information Science and Technology | October 2024
Artificial intelligence is beginning to shape library and information science, influencing research, teaching, and practice. Current gaps in knowledge and application point to the need for a clear research agenda.
Natural Language Processing Journal | September 2024
Analyzes emotional and factual messaging in COVID-19 social media discussions influencing vaccination behavior. The study shows how different message types can either encourage or discourage vaccination, offering insights for more effective public health communication.
Aslib Journal of Information Management | September 2024
Investigates whether scientific articles gain visibility through human sharing or automated bot amplification on Twitter. The findings reveal that while genuine user engagement drives much of the spread, automated accounts selectively amplify certain topics, shaping how science reaches broader audiences.
JAMA Network Open | April 2023
Evaluates credibility, user engagement, and messaging around eating disorder discussions in short video social media formats. The analysis finds high levels of interaction with this content, but also significant concerns about misinformation and the reinforcement of harmful themes.
Journal of Systems and Software | January 2023
Analyzes key trends, collaboration patterns, and thematic evolution within software testing research over thirty years. The study highlights shifts in research focus, growing international collaboration, and emerging themes that continue to shape the field.
π Big Data. Communication technology update and fundamentals (Book Chapter)
π Big Data. Communication technology update and fundamentals (Book Chapter)
Communication Technology Update and Fundamentals | 2022
Discusses the developments, challenges, and impacts of big data technologies across communication platforms.
Journal of Medical Internet Research | April 2022
Analyzes the agenda-setting influence between the WHO's COVID-19 messaging and Twitter user discussions. Findings show a reciprocal relationship, with WHO shaping public discourse while also adapting its communication in response to user concerns and engagement.
Journal of Information Science | February 2022
Explores research trends in big data across multiple disciplines using text mining analysis. The study identifies major themes, evolving collaborations, and emerging directions that highlight how big data is reshaping diverse fields of inquiry.
Substance Use & Misuse | February 2022
Examines social media conversations surrounding the FDAβs authorization of IQOS as a modified risk tobacco product. The analysis reveals mixed public responses, with discussions balancing perceptions of reduced harm against concerns about health risks and marketing practices.
JMIR Infodemiology | April 2022
Identifies recurring misinformation frames during COVID-19 by thematically analyzing media stories. The study shows how narratives around conspiracy, distrust, and political conflict shaped public understanding of the pandemic.
Journal of Medical Internet Research | September 2021
Analyzes the framing strategies used in COVID-19 discussions on Twitter by thematically analyzing trending hashtags. Results indicate that hashtags shaped public attention around health guidance, politics, and social impacts, influencing how the pandemic was collectively understood online.
El Profesional de la informaciΓ³n | September 2021
Analyzes the framing strategies used in COVID-19 discussions on Twitter by thematically analyzing trending hashtags. Results indicate that hashtags shaped public attention around health guidance, politics, and social impacts, influencing how the pandemic was collectively understood online.
Accountability in Research | January 2021
Examines whether traditional authorship adequately reflects the diverse contributions in modern collaborative research. The article argues for clearer recognition of contributor roles to ensure transparency, accountability, and fairness in scholarly publishing.
Information Processing & Management | May 2020
Investigates which health and biomedical topics attract the most attention on Facebook and how this engagement relates to citation patterns. Findings show that certain areas, such as public health and clinical research, generate both strong online interest and scholarly impact.
Australian Journal of Grape and Wine Research | February 2020
Analyzes global trends in wine research and its connection to wine production through scientometric methods. The study highlights evolving research themes, regional strengths, and their alignment with developments in the wine industry.
Learned Publishing | April 2020
Examines the types of users who share health and medical scholarly articles on Facebook. The study finds that researchers, institutions, practitioners, and the general public all contribute, reflecting diverse motivations for engaging with scientific content online.
Handbook of Quantitative Science and Technology Research | 2019
Explores how readership data, such as article views and downloads, can be used to assess research impact alongside traditional citations.
PLOS ONE | May 2018
Presents findings from a survey on how academics use Twitter to share and access scholarly information. Results show that researchers value the platform for networking, visibility, and staying updated, though concerns remain about credibility and information overload.
Proceedings of the Association for Information Science and Technology | January 2018
Examines the strategies used by retweeted social bots during a mass shooting event. The analysis shows how bots amplified partisan narratives and polarizing content, shaping the online discourse around the tragedy.
Journal of Clinical and Translational Science | September 2017
Analyzes collaboration patterns and research impact within the Clinical and Translational Science Awards (CTSA) program using scientometric methods. The study highlights the programβs role in fostering interdisciplinary partnerships and advancing translational research outcomes.
Journal of the Association for Information Science and Technology | 2015
Examines whether Mendeley bookmarks can serve as indicators of readership through a survey of user motivations. Findings show that while bookmarking often reflects genuine reading intentions, it is also influenced by reference management and organizational needs.
Journal of the Association for Information Science and Technology | 2014
Explores how Mendeley readership data can serve as altmetrics for research evaluation in the social sciences and humanities. The study highlights patterns of knowledge flows across disciplines, showing both the potential and limitations of readership as an impact indicator.
Scientometrics | 2013
Investigates how F1000 labels can be used to assess non-standard forms of article impact beyond traditional citations. The analysis shows that these expert tags capture dimensions of novelty, significance, and influence that complement conventional metrics.
Proceedings of ISSI 2013 Vienna: 14th International society of scientometrics and informetrics conference | 2013
Analyzes Mendeley readership patterns for social science and humanities research. The study reveals disciplinary differences in engagement and considers how readership data may serve as an alternative indicator of scholarly impact.
Scientometrics | 2012
Text mining reveals the structure and evolution of nanoscience and technology research in Iran. The study highlights major themes, growth areas, and collaboration patterns driving the field.
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