Welcome!
We’re glad you want to learn more about our research project.
Modeling news flows: How feedback loops influence citizens beliefs and shape democracy
Welcome!
We’re glad you want to learn more about our research project.
On 23 October, part of the NEWSFLOWS team will make their first appearance at a conference. Mónika will participate in the ‘Addressing Challenges and Opportunities in Online Extremism Research: An Interdisciplinary Perspective’ workshop, which is part of the 24th ACM Conference on Computer-supported cooperative work and social computing.
More specifically, she will present some early findings and observations concerning the analysis of 174 Dutch-language public Telegram chats and channels as well as address some key issues with regards to creating open-access tools for scholars to obtain and analyze data from low moderated but increasingly popular platforms such as Telegram. The abstract is featured on the workshop’s website.
All members of the NEWSFLOW project are passionate about automated text analysis. Most of us work on a daily basis with computational techniques to understand how information spreads in today’s media ecosystem. For example, our talented PhD candidates Mónika and Zilin are working on the nitty gritties of getting messy web content into neat tables and perform advanced NLP techniques.
With the growing potential of automated techniques, a wider community of social science researchers is becoming interested in automating (parts of) their text analysis. For that reason, GESIS is organizing workshops centered around Computational Social Science this fall. Two members of our team, Damian and Anne, will teach one of the courses that is part of this seminar, focused on applied machine learning using Python. We are looking forward to discussing some of the key techniques that also take center place within the NEWSFLOWS project!
Find us at Lowlands Science 2021 between 20 and
At the end of May, we finally had our first in-person team meeting in Damian’s garden! We enjoyed the nice weather, had good food and drinks, and heard quite some funny stories. Oh, and of course, we spent time discussing this project as a whole ;). Thank you so much Damian for hosting us!
A lit bit update on what we’ve been doing:
Monika has scraped text messages from over 170 public Dutch language Telegram chats and channels. She will use this historical data to understand the most prevalent narratives and communities that dominate the Dutch Telegram landscape across time, and to build a database of alternative news sources.
Zilin is now working on a framework for studying news on social media. And she will train models for classifying dutch news items based on multiple criteria (e.g., subjectivity, humorous elements, etc.).
Another exciting thing is that we are (secretly) planning a fun event for data collection in August! Shhh, we will announce it next month.
Stay tuned and, in the meantime, enjoy the summer!
Damian gave an invited talk at the Department of Communication and Media Research (IKMZ) at the University of Zurich, Switzerland. On 29 March, he talked (via zoom, due to corona) about “Modeling News Flows: How Feedback Loops Influence Citizens’ Beliefs and Shape Societies” not fully coincidentally also the title of the NEWSFLOWS project. He outlined the theoretical underpinnings of the project, insights from previous work, as well as the steps ahead that NEWSFLOWS is going to take.
On January 1, 2021, we officially started! NEWSFLOWS is the result of an idea I was walking around with for years – the idea that there must be a better way to describe how news spreads in the current media environment than common narratives like filter bubbles or echo chambers. Now, with the funding of an ERC Starting grant, we can finally investigate how news flows in our digital society look like with a team of multiple researchers for the coming five years. The first two PhD candidates started on February 1, 2021 – the fun can begin!