Fabio Poletto
Impact in
- Communication top 5%
- Social Media and Politics
- Swearing, Euphemism, Multilingualism
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Hate Speech and Cyberbullying Detection 6
- Internet Traffic Analysis and Secure E-voting 1
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- Social Media and Politics 2
- Co-authors
- Cristina Bosco (6 shared papers)Viviana Patti (5 shared papers)Manuela Sanguinetti (5 shared papers)Valerio Basile (4 shared papers)Marco Antonio Stranisci (4 shared papers)Giancarlo Ruffo (2 shared papers)Marco Polignano (2 shared papers)Giovanni Semeraro (2 shared papers)
- Journals
- Language Resources and Evaluation (2 papers)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)Institutional Research Information System University of Turin (University of Turin) (2 papers)
- Partner nations
- Italy
In The Last Decade
Fabio Poletto
6 papers receiving 350 citations
Peers
Comparison fields: 5 of 23
- Communication 96
- Artificial Intelligence 362
- Information Systems 73
- Social Psychology 45
- Signal Processing 21
Countries citing papers authored by Fabio Poletto
This map shows the geographic impact of Fabio Poletto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fabio Poletto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Poletto more than expected).
Fields of papers citing papers by Fabio Poletto
This network shows the impact of papers produced by Fabio Poletto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fabio Poletto. The network helps show where Fabio Poletto may publish in the future.
Co-authors
The 10 scholars most cited alongside Fabio Poletto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 238 | |
| 2 | 2018 | 108 | |
| 3 | Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project. | 2019 | 10 |
| 4 | 2020 | 7 | |
| 5 | Annotating hate speech: Three schemes at comparison | 2019 | 7 |
| 6 | Error analysis in a hate speech detection task: The case of Haspeede-TW at Evalita 2018 | 2019 | 3 |
About Fabio Poletto
Fabio Poletto is a scholar working on Artificial Intelligence, Communication, Law, Political Science and International Relations and Social Psychology, having authored 6 papers that have together received 373 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (6 papers), Social Media and Politics (2 papers), Freedom of Expression and Defamation (2 papers), Spam and Phishing Detection (1 paper), Populism, Right-Wing Movements (1 paper), Bullying, Victimization, and Aggression (1 paper), Advanced Malware Detection Techniques (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Communication (96 citations), Artificial Intelligence (362 citations), Information Systems (73 citations), Social Psychology (45 citations) and Signal Processing (21 citations). Fabio Poletto has collaborated with scholars based in Italy. Frequent co-authors include Cristina Bosco, Viviana Patti, Manuela Sanguinetti, Valerio Basile, Marco Antonio Stranisci, Giancarlo Ruffo, Marco Polignano, Giovanni Semeraro, Mirko Lai and Cataldo Musto. Their work appears in journals such as Language Resources and Evaluation, DOAJ (DOAJ: Directory of Open Access Journals) and Institutional Research Information System University of Turin (University of Turin).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.