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053037 VU Academic Research and Writing - Fake-News Detection Approaches and Its Societal Conjunctions (2021W)

Continuous assessment of course work
REMOTE

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: English

Lecturers

Classes

Digital, in block structure during the time interval of October-November or Mid December 2021.


Information

Aims, contents and method of the course

Aim:
Providing scientific skills in an applied manner through a workshop structure in contemporary ICTs-based global issues with a specific focus on selected research areas.

Content
The course focuses on introducing students selected contemporary ICT-related study areas. While students receive input regarding the specified research areas in questions, they acquire applied knowledge through the process of the simulation of a scientific conference during the class time interval with their applications for the "Call for papers" provided by the course instructor. After accepting students to the simulated conference based on their abstracts, the students receive guided instructions throughout the course, during which they deliver a conference paper based on their accepted abstracts, and present it at the simulated conference session at the end of the course.
Main topics are:
a) state-of-art fake news detection approaches and its societal conjunctions,
b) the aspect of user safety online through the discussion of approaches in cyberbullying and/or -stalking prevention

Method
Assignments directing the simulated conference paper construction: drafting the elements of a scientific paper (i.e., Introduction, Theoretical background, Methods, Results, Conclusion and/or Discussion); introduction and simulation of the peer review process in which students become hypothetical journal editors handling the submissions of each other.
Workshop exercises start with peer group formulation based on the session at which students handed in their abstracts to beforehand.
They consist of relevant scientific writing skill enhancements, such as outlining techniques, methods formulation practice, drafting figures and tables, peer evaluation of each constructed paper segment, title giving practices, response techniques for reviewers, and evaluation techniques of previously unknown scientific journals.

Assessment and permitted materials

course paper written for the simulated scientific conference 40%
workshop exercises: 30%
paper presentation: 20%
workshop participation: 10%

Minimum requirements and assessment criteria

To pass the course, a minimum of 50% is required.

Grading:
1: >= 87.5 %
2: >= 75.0 %
3: >= 62.5 %
4: >= 50 %

Examination topics

- Fake news detection technologies
User safety issues online with the focus at cyberbullying and/or -stalking

Reading list

Heard, S. B. (2016).The scientist's guide to writing: how to write more easily and effectively throughout your scientific career. Princeton University Press.
Salvi, C., Iannello, P., McClay, M., Rago, S., Dunsmoor, J. E., & Antonietti, A. (2021). Going viral: How fear, socio-cognitive polarization and problem-solving influence fake news detection and proliferation during COVID-19 pandemic.Frontiers in Communication,5, 127.
Sitaula, N., Mohan, C. K., Grygiel, J., Zhou, X., & Zafarani, R. (2020). Credibility-based fake news detection. InDisinformation, Misinformation, and Fake News in Social Media(pp. 163-182). Springer, Cham.
Van Duijn, Max, Preuss, Mike, Spaiser, Viktoria, Takes, Frank, & Verberne, Suzan. (2020).Disinformation in Open Online Media(Vol. 12259, Lecture Notes in Computer Science). Cham: Springer International Publishing AG.
Calvo-Morata, A., Alonso-Fernández, C., Freire, M., Martínez-Ortiz, I., & Fernández-Manjón, B. (2020). Serious games to prevent and detect bullying and cyberbullying: A systematic serious games and literature review. Computers & Education, 157, 103958.
Ansary, N. S. (2020). Cyberbullying: Concepts, theories, and correlates informing evidence-based best practices for prevention.Aggression and violent behavior,50, 101343.
Kaur, P., Dhir, A., Tandon, A., Alzeiby, E. A., & Abohassan, A. A. (2020). A systematic literature review on cyberstalking. An analysis of past achievements and future promises.Technological Forecasting and Social Change, 120426.

Association in the course directory

Last modified: Mo 13.09.2021 08:48