1st workshop on Detecting
Trust, Authority, Sense and Knowledge
in online news media production
Hannover, Germany
March 14th, 2025
1st workshop on Detecting
Trust, Authority, Sense and Knowledge
in online news media production
Hannover, Germany
March 14th, 2025
The 1st workshop on Detecting Trust, Authority, Sense and Knowledge in online news media production, is an event co-located within the ACM WSDM’25 conference, the 18th ACM International Conference on Web Search and Data Mining, to be held on 10–14 March, 2025 in Hannover, Germany.
The aim of the workshop is to bring a set of practitioners and researchers with diverse experiences and backgrounds together to exchange ideas, tackle challenges, share solutions, and present research on the overarching theme: "Detecting Trust, Authority, Sense, and Knowledge in Online News Media Production." It will serve as a platform for exploring and understanding the latest trends in this field.
Through in-depth discussions and practical examples, the workshop will lead to a comprehensive evaluation of current detection algorithms, including analysis of their performance, accuracy, and scalability in real-world applications. Furthermore, participants will gain a deeper understanding of the technologies used to detect Trust, Authority, Sense, and Knowledge in online news media, including the methodologies, tools, and systems that make this possible. Finally, the workshop will offer insights into how data mining techniques can be optimized to enhance the accuracy and efficiency of detecting credible news sources, leading to potential innovations in search and data analysis models.
The workshop will offer participants an opportunity to showcase their recent work, exchange research ideas, address various challenges, and identify key areas for future investigation.
The workshop will be held on March 14th, during the last day of the ACM WSDM'25 conference.
The workshop aims at gathering papers related, but not limited, to the following topics:
Innovative methods to analyze digital news content and discussions
Approaches for the analysis of huge amount of data to detect how platforms influence media trust and the attribution of journalistic authority
Digital Methods approaches and specifically designed methods and tools to investigate the perceptions of trust and authority in journalists and news creators
AI-Driven News Curation and Its Impact on Public Discourse
The role of AI in shaping news feeds and the implications for public trust and information diversity
How algorithm-driven content curation creates echo chambers and limits exposure to diverse viewpoints
Social Media as a News Source: Shifting Audience Preferences and Trends in news consumption on platforms
Sentiment Analysis and Public Engagement with News
Using AI to analyze public reactions to news content through sentiment analysis and NLP tools
AI and the Ethical Dilemmas of Automated News Curation
Tools and methods to analyze media interactions, comments, likes, and shares to assess journalistic credibility
Using AI and semantic models to detect and mitigate the spread of toxic content on social media
Investigating how users interact with news content and how this data can inform the future of media consumption
Leveraging Semantic Models and Knowledge Graphs in News Research
Applying semantic enrichment techniques to understand complex relationships between entities in news content
Exploring how trust in journalism is influenced by online platforms and algorithms
Innovative Approaches to Monitoring and Evaluating Media Trust
The ethical challenges of transparency, accountability, and bias in AI-powered news recommendations.
How journalistic related topic circulate on social media. Which ones are the best equipped to attract people engagement.
How newsrooms are adopting AI instruments to produce and spread news
In which way AI produced content influence trust users keep
We welcome two types of submissions:
Short papers (4-6 pages including references)
Regular papers (10-12 pages including references)
We also accept abstracts (2 pages maximum) as initial submission.
All papers and abstracts will be peer-reviewed (single-blind) by the program committee and evaluated according to their relevance to the themes of the workshop and to their potential to raise a debate.
Authors of accepted abstracts will be required to extend the abstracts as a short o regular paper.
All submissions must be in English, and in PDF format (ACM formatting, sigconf style).
At least one of the authors of the accepted workshop papers must register for the workshop and be present on the day of the workshop.
Abstracts or papers can be submitted through CMT: https://cmt3.research.microsoft.com/WSDM2025/Submission/Index