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Course module: 880003-M-6
880003-M-6
Data and (mis)information
Course info
Course module880003-M-6
Credits (ECTS)6
CategoryMA (Master)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Humanities and Digital Sciences; TSH: Commun. and Inform. Sciences; TSH: Department Communication and Cognition;
Is part of
M Communication and Information Sciences
Lecturer(s)
Lecturer
dr. R. van Enschot
Other course modules lecturer
Lecturer
dr. R.M.F. Koolen
Other course modules lecturer
Academic year2020
Starting block
BLOK 2
Course mode
Full-time
RemarksCaution: this information is subject to change
Registration openfrom 14/10/2020 up to and including 20/08/2021
Aims

After this course, you will be able to:
 
  • Interpret and explain relevant concepts with regard to data and misleading information.
  • Critically assess the accuracy of professional messages.
  • Apply scientific literature to reflect on professional cases, with the aim to generate a critical opinion on the subject matter.
Content
How factual is the communication about a corona-related app which focuses either on privacy concerns or health benefits? How do graphs mislead? Why do conspiracy theories appeal to us? Why do people keep believing in the link between 5G and the corona virus? This course is about developing a critical attitude towards data and information in online professional messages. Our first focus is on data and ‘facts’ (factoids, alternative facts, et cetera). It is often assumed that these are objective ‘nuggets of truth’ but you will learn how data and facts can also be biased. We then move on to the interpretation of these data and facts. Even with truthful data and facts, we are still confronted with misleading information on a daily basis. This misleading information can be spread intentionally or not: the media may deliberately spread information to deceive other people (disinformation), or they can do so based on an honest mistake (misinformation). Either way, in this course, you are going to develop the skills to critically assess data and information.

We will focus specifically on:
  • Framing in online professional messages (making certain aspects of reality stand out while hiding other aspects)
  • Fact-checking: Finding and checking factual assertions in text, photos and videos of online professional messages
  • The varying quality of data sets (e.g., questionable research practices)
  • Conspiracy theories and filter bubbles
  • (Misleading) data visualizations
  • Dealing with misleading information - the receiver's perspective - sticky myths and ignored facts
We will discuss current research and all kinds of online professional messages. 

To successfully finish the course, you will need to:

1. Assemble a portfolio (individual: 30% of end grade), for which you:
  •     Write two blogposts reflecting on the content of the lectures
  •     Present one of your blogs during the course
2. Do a fact-checking project (group: 20% of end grade)
3. Do a written exam (individual: 50% of end grade)
4. Contribute to discussions (pass/no pass)

Note: you need to score at least a 6 on parts 1-3. Your contribution to the discussions needs to be rewarded with a pass.

Please note that the university regulations in response to the Corona crisis may lead to changes in the course organization


Preparation for the labor market
Being able to critically assess data and information is valuable in all professional domains. Not taking given information for granted, knowing how to debunk misleading information and being able to present truthful information are all highly appreciated and much needed skills.
 
Note: assignment to subgroups will be determined at the start of the course.
 

Required prerequisites

Pre-master students must have completed the following courses before they can participate in this course.

 

Course code Fall

Course code Spring

Statistics for Premasters

800547-B-6

800957-B-6

Methodology for Premasters

800550-B-6

800892-B-6

Academic English for PM CIS  

840094-B-6

840123-B-6

Course available for exchange students
Master level, conditions apply
Contact person
dr. R. van Enschot
Timetable information
Data and (mis)information
Written test opportunities
DescriptionTestBlockOpportunityDate
Written exam / Written examEXAM_01BLOK 2228-01-2021
Written test opportunities (HIST)
DescriptionTestBlockOpportunityDate
Written exam / Written examEXAM_01BLOK 2115-12-2020
Required materials
Articles
Several academic articles serve as study material. For example: Cairo, A. (2015). Graphics lies, misleading visuals: Reflections on the challenges and pitfalls of evidence-driven visual communication. In D. Bihanic (Ed.), New challenges for data design (pp. 103-116). Springer-Verlag, London. Scheufele, D.A., & Iyengar, S. (2014). The State of Framing Research: A Call for New Directions. K. Kenski, & K.H. Jamieson (Eds.), The Oxford Handbook of Political Communication. Oxford: OxfordUniversity Press. Wicherts, J. M. et al. (2016). Degrees of freedom in planning, running, analyzing and reporting psychological studies: A checklist to avoid p-hacking. Frontiers in Psychology, 7, 1832. The complete reading list will be announced through Canvas.
Recommended materials
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Tests
Written exam

Final Result

Individual portfolio

Group project: fact-checking

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