{ "paper_id": "2020", "header": { "generated_with": "S2ORC 1.0.0", "date_generated": "2023-01-19T14:59:41.998932Z" }, "title": "", "authors": [ { "first": "Ahmet", "middle": [], "last": "Aker", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Pepa", "middle": [], "last": "Atanasova", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Chengkai", "middle": [], "last": "Li", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Paolo", "middle": [], "last": "Rosso", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Ravi", "middle": [], "last": "Shekhar", "suffix": "", "affiliation": {}, "email": "" } ], "year": "", "venue": null, "identifiers": {}, "abstract": "", "pdf_parse": { "paper_id": "2020", "_pdf_hash": "", "abstract": [], "body_text": [ { "text": "Welcome to the 3rd International Workshop on Rumours and Deception in Social Media (RDSM) colocated with the 28th International Conference on Computational Linguistic (COLING 2020), 13th December, 2020.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Introduction", "sec_num": null }, { "text": "The 3rd edition of the RDSM workshop particularly focuses on online information disorder and its interplay with public opinion formation.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Abstract", "sec_num": null }, { "text": "Social media is a valuable resource for mining all kind of information varying from opinions to factual information. However, social media houses issues that are serious threats to the society. Online information disorder and its power on shaping public opinion lead the category of those issues. Among the known aspects are the spread of false rumours, fake news or even social attacks such as hate speech or other forms of harmful social posts. In this workshop the aim is to bring together researchers and practitioners interested in social media mining and analysis to deal with the emerging issues of information disorder and manipulation of public opinion. The focus of the workshop is on themes such as the detection of fake news, verification of rumours and the understanding of their impact on public opinion. Furthermore, we put a great emphasis on the usefulness and trust aspects of automated solutions tackling the aforementioned themes.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Abstract", "sec_num": null }, { "text": "The workshop brings together researchers and practitioners interested in social media mining and analysis to deal with the emerging issues of veracity assessment, fake news detection and manipulation of public opinion. The workshop put also emphasis on qualitative studies performing user studies on the challenges encountered with the use of social media, such as the veracity of information and fake news detection, as well new data sets. Finally, the workshop welcome studies reporting the usefulness and trust of social media tools tackling the aforementioned problems.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Theme and Topics", "sec_num": null }, { "text": "We received 17 submissions, and due to a rigorous review process, we rejected 10. All accepted papers are oral presentations.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Theme and Topics", "sec_num": null } ], "back_matter": [], "bib_entries": { "BIBREF0": { "ref_id": "b0", "title": "Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages Maria Glenski", "authors": [], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Deception Detection: Benchmarking Model Robustness across Domains, Modali- ties, and Languages Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt and Svitlana Volkova . . . . . . . . . . . . . . . 1", "links": null }, "BIBREF1": { "ref_id": "b1", "title": "A Language-Based Approach to Fake News Detection Through Interpretable Features and", "authors": [ { "first": "Daniel", "middle": [], "last": "Brnn Yu Qiao", "suffix": "" }, { "first": "Elma", "middle": [], "last": "Wiechmann", "suffix": "" }, { "first": ".", "middle": [ "." ], "last": "Kerz", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN Yu Qiao, Daniel Wiechmann and Elma Kerz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14", "links": null }, "BIBREF2": { "ref_id": "b2", "title": "Covid or not Covid? 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