Special AI & Misinformation Seminar : " IQ Journalism: Predicting the quality of news stories based on explainable AI"

by Dr Katerina Sotirakou

Thursday Nov 9, 2023, 12:30 PM → 1:30 PM America/Los_Angeles

257 (Lauritsen)

Note Special Day and Time! 

Pizza arrives at noon! 

 

Fake and manipulated information is circulated in all forms and platforms, unverified videos are shared on Facebook, rumors are being forwarded via messaging apps, and conspiracy theories are being shared by Twitter influencers, and these are only a few of the distribution patterns of disinformation. The role of social media platforms is crucial to understand the current state of disinformation globally since Facebook and Twitter changed both the news distribution and the trust of traditional media outlets. In the post-truth era when the role of the information gatekeepers has been transferred to the users as nodes in a wider network of reproduction, shares, and affiliations the reality of what the user encounters in their media flow is what defines the new truth: the user is transformed into the locus of truth construction thus partially undertaking the responsibility of identifying or assess the news item or narrative object.

 

This research has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH CREATE INNOVATE (project code: T2EDK-04616).

References Deuze, M., 2005. What is journalism?

Professional identity and ideology of journalists reconsidered. Journalism, 6(4): 442464. Harcup, T., 2015.

Journalism: principles and practice.Sage. Kovach, B. and Rosenstiel, T., 2014.

The elements of journalism: What newspeople should know and the public should expect. Three Rivers Press (CA). Lacy, S. and Rosenstiel, T., 2015.

Defining and measuring quality journalism. Rutgers School of Communication and Information. Lundberg, S.M., Erion, G., Chen, H., DeGrave, A., Prutkin, J.M., Nair, B., Katz, R., Himmelfarb, J., Bansal, N. and Lee, S.I., 2020.

From local explanations to global understanding with explainable AI for trees. Nature machine intelligence, 2(1): 25225839.

 

Short Speaker Bio:

Dr. Sotirakou main research areas are on Computational Journalism, Text & Data Mining, Machine Learning, Audience Insights, Quality News, User Behavior, Fact-Checking and Disinformation. She is the Director of  the EU funded IQ Media HUB, a collaborative knowledge-transfer hub that aims to support the digital transformation of news organisations, uplevel the digital competencies of their employees, and lay the foundations for cross-border collaborative projects via the use of innovative technologies. IQ Media intends to contribute to the development of a media ecosystem that is competent, highly trained, sustainable, and builds upon research and innovation to ensure future success.

 

INQNET Seminar zoom info

https://caltech.zoom.us/j/6263952471

Predicting the quality of news stories based on explainable AI_Abstract.pdf