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Special Issue on Trends in Social Media Analysis to Address Fake News, Hate Speech, or Bias ========================================================== Springer Datenbank-Spektrum https://www.springer.com/13222 ========================================================== Social media has many benefits: from staying in contact with close and not-so-close friends, over exercising the right to voice one's opinion, to communicating with many like-minded people all over the world and providing an additional channel for information exchange. Unfortunately, social media has also been abused and misused ever since its inception. Hate speech is prevalent on many sites alienating trusting users and hindering fruitful discussions. Fake news are distributed through social media platforms with dangerous effects. But even without malicious intention, social media can be misleading due to various biases in the system.

Topics of Interest ================== In this special issue of Datenbank-Spektrum, we will explore and present current trends in the field of automatically detecting and managing hate speech, fake news, bias and other toxic content in the context of social media.

We welcome original contributions including technical papers, application-oriented papers, case studies, survey papers and position papers. Topics of interest include, but are not limited to:

- Automatic detection of hate speech - Methods to improve online discussions - Trust and reputation of social media actors - Identification of fake news - Countermeasures to fight fake news - Detection and/or mitigation of bias - Dealing with bias in training data - Content analysis and NLP - Opinion mining and sentiment analysis on social media - Information extraction and retrieval on social media - Information diffusion within social networks - Ethical and legal aspects

Submission Guidelines ==================== Paper format: 8-10 pages, double-column (cf. author guidelines at https://www.springer.com/13222). We welcome contributions in both German and English through the Springer submission system https://www.editorialmanager.com/dasp/

Deadline for submissions: Oct. 1st, 2022; Publication of special issue: DASP-1-2023 (March 2023)

Guest editors ============= Feel free to contact the guest editors in case you have questions. Ralf Krestel, ZBW & CAU Kiel, r.krestel@zbw.eu Udo Kruschwitz, Universität Regensburg, udo.kruschwitz@ur.de Michael Wiegand, Universität Klagenfurt, michael.wiegand@aau.at