Demo Data from SIGIR 2026 / reviewers in the wild / expert
Michele Starnini
dblp:116/2915
· DBLP profile ↗
6ranked-venue papers
1as first author
5since 2021 · last 2025
0000-0002-9161-5339ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 5 · 1 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 4 · 3 since 2021Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
2 papers |
Web and social media mining · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Computational social science and digital humanities · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
opinion dynamics |
0.8 | 1 | 2024 | Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social Affinity · WWW 2024 |
Web and social media mining
social media analysis |
0.8 | 1 | 2024 | Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social Affinity · WWW 2024 |
Computational social science and digital humanities › social computing
online discussion analysis |
0.7 | 1 | 2023 | Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit · WWW 2023 |
Web and social media mining › social network analysis
homophily |
0.7 | 1 | 2023 | Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit · WWW 2023 |
Web and social media mining
social network analysis |
0.7 | 1 | 2023 | Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit · WWW 2023 |
Web and social media mining › social media analysis
reddit |
0.2 | 1 | 2023 | Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit · WWW 2023 |
Methods — techniques the papers use, named apart from their topics
demographic analysis · 1.5network null model · 1.3demographic inference · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Multi-class and Multi-task Strategies for Neural Directed Link Prediction
Claudio Moroni, Claudio Borile, Carolina Mattsson, Michele Starnini, André Panisson |
ECML/PKDD (8) | 4 |
| 2024 | Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social AffinityabstractThe prevalent perspective in quantitative research on opinion dynamics flattens the landscape of the online political discourse into a traditional left--right dichotomy. While this approach helps simplify the analysis and modeling effort, it also neglects the intrinsic multidimensional richness of ideologies. In this study, we analyze social interactions on Reddit, under the lens of a multi-dimensional ideological framework: the political compass. We examine over 8 million comments posted on the subreddits /r/PoliticalCompass and /r/PoliticalCompassMemes during 2020--2022. By leveraging their self-declarations, we disentangle the ideological dimensions of users into economic (left--right) and social (libertarian--authoritarian) axes. In addition, we characterize users by their demographic attributes (age, gender, and affluence). Ernesto Colacrai, Federico Cinus, Gianmarco De Francisci Morales, Michele Starnini |
WWW | 4 |
| 2023 | Evidence of Demographic rather than Ideological Segregation in News Discussion on RedditabstractWe evaluate homophily and heterophily among ideological and demographic groups in a typical opinion formation context: online discussions of current news. We analyze user interactions across five years in the r/news community on Reddit, one of the most visited websites in the United States. Then, we estimate demographic and ideological attributes of these users. Thanks to a comparison with a carefully-crafted network null model, we establish which pairs of attributes foster interactions and which ones inhibit them. Corrado Monti, Jacopo D'Ignazi, Michele Starnini, Gianmarco De Francisci Morales |
WWW | 3 |
| 2021 | Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks
Michele Starnini, Charalampos E. Tsourakakis, Maryam Zamanipour, André Panisson, Walter Allasia, Marco Fornasiero, Laura Li Puma, Valeria Ricci, Silvia Ronchiadin, Angela Ugrinoska, Marco Varetto, Dario Moncalvo |
ECML/PKDD (4) | 1 |
| 2021 | Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forumabstractVaccine hesitancy is considered as one of the leading causes for the resurgence of vaccine preventable diseases. A non-negligible minority of parents does not fully adhere to the recommended vaccination schedule, leading their children to be partially immunized and at higher risk of contracting vaccine preventable diseases. Here, we leverage more than one million comments of 201,986 users posted from March 2008 to April 2019 on the public online forum BabyCenter US to learn more about such parents. For 32% with geographic location, we find the number of mapped users for each US state resembling the census population distribution with good agreement. We employ Natural Language Processing to identify 6884 and 10,131 users expressing their intention of following the recommended and alternative vaccination schedule, respectively RSUs and ASUs. From the analysis of their activity on the forum we find that ASUs have distinctly different interests and previous experiences with vaccination than RSUs. In particular, ASUs are more likely to follow groups focused on alternative medicine, are two times more likely to have experienced adverse events following immunization, and to mention more serious adverse reactions such as seizure or developmental regression. Content analysis of comments shows that the resources most frequently shared by both groups point to governmental domains (.gov). Finally, network analysis shows that RSUs and ASUs communicate between each other (indicating the absence of echo chambers), however with the latter group being more endogamic and favoring interactions with other ASUs. While our findings are limited to the specific platform analyzed, our approach may provide additional insights for the development of campaigns targeting parents on digital platforms. Lorenzo Betti, Gianmarco De Francisci Morales, Laetitia Gauvin, Kyriaki Kalimeri, Yelena Mejova, Daniela Paolotti, Michele Starnini |
PLoS Comput. Biol. | 7 |
| 2020 | Falling into the Echo Chamber: The Italian Vaccination Debate on Twitter
Alessandro Cossard, Gianmarco De Francisci Morales, Kyriaki Kalimeri, Yelena Mejova, Daniela Paolotti, Michele Starnini |
ICWSM | 6 |