Felix M. Simon Profile picture
Nov 9, 2019 4 tweets 2 min read Read on X
Nowadays, Germany can seem more disunited than ever before, but a day like this should still fill us with unalloyed joy.

I was lucky enough to be born into a united, democratic country. Many others were not. #BerlinWall30 Image
For my family, the separation was a daily reality – something that had torn us apart. Long enough there was little hope of there ever being change.

When the wall came down it was proof that peaceful protest and slow and patient efforts can change the world for the better.
There is still a lot of work – and it is hard work indeed – ahead of us until we can truly speak of a reunited country. The border and the regime that was the GDR might be gone, but the separation in many people’s minds lives on – even in my generation.
I am not sure if I will live to see the day when this chasm will finally have been overcome.

But we have come a long way and it is my firm hope that one day categories like East and West will no longer play a role in the future of our still comparably young democracy.

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More from @_FelixSimon_

Jul 7
How harmful is GenAI around elections? Will it trigger a misinformation apocalypse and upend elections?

I am happy to finally be able to share @Sacha_Altay’s & my answers to these and other questions on which we have been working for a year and which is out via @knightcolumbia. Image
I cannot easily summarise the whole piece because it runs to 93 pages, but attempt short overview (that necessarily condenses and reduces a lot of nuance) below.

For the full piece (also available as a PDF) look no further than here: knightcolumbia.org/content/dont-p…
A dominant fear is that GenAI makes it easy to create potent, personalised mis- and disinformation at a massive scale, capable of swaying voters & manipulating elections. Our paper critically examines this view, drawing on empirical & theoretical material from various fields.
Read 45 tweets
Dec 3, 2023
🚨New working paper on AI disclosure around news 🤖📝

Do audiences perceive news labeled as AI-generated as more or less trustworthy?

In work led by @BenjaminToff we find that the answer seems to be "less" 😳

🔗 Pre-Print:
🧵-summary below ⬇️ doi.org/10.31235/osf.i…
Image
Main-findings:

1️⃣ People perceived news labeled as AI-generated as less trustworthy, even though they did not evaluated these articles as less accurate/more biased.

2️⃣ Those who already trust news a lot & know more about how journalism works are more affected by the AI labels.
3️⃣ People who don't trust news much or aren't very knowledgeable about journalism don't seem to change their trustworthiness perception much, even with AI labels.

4️⃣ Where sources are provided alongside the text, AI-labels do not seem to reduce trust in the content
Read 35 tweets
Feb 15, 2023
Cas has a good point here.

Knowing the Guardian (and looking at the size of the investigation with many news organisations involved) we will likely get more information in the coming days.

But whenever a company claims "We can flip" elections, I get immediately skeptical.
Reminds me of this piece I wrote in the aftermath of the Cambridge Analytica scandal which looked at the rhetoric of these companies and the US political consultancies @CasMudde mentions: Lots of grand claims, very little evidence of big effects.

And a bit less scientific here: medium.com/viewpoints/cam…
Read 10 tweets
May 25, 2022
I was supposed to present my and @evoluchico’s thoughts on how the field of disinformation studies could be reformed at the #ica22 pre-conference #afterdisinfo (unc.live/39Motq9)

As I sadly cannot attend, I summarise it here…📝 Too Big to Fail. Reforming Disinformation Studies from the I
Disinformation is now firmly entrenched in various academic disciplines & well-funded by various actors. Journalists continue to display a keen interest not least given a multitude of crises which regularly bring the topic back into focus.
This is not necessarily a bad thing. Disinformation studies—the loose assortment of researchers, activists, journalists, & policymakers devoted to the study of the creation, distribution & reception of misleading information—has had positive & negative effects.
Read 30 tweets
Jul 20, 2021
🚨Publication alert🚨

⁉️Does the ‘Infodemic’ make much sense? Did we really live through one?
📝In our new paper for New Media & Society, @evoluchico and I take these ideas to court.
💥 Our answers: No & No

Find out why in the thread…

journals.sagepub.com/doi/10.1177/14…
In early 2020, the term ‘infodemic’ was suddenly everywhere after a WHO situation report stated the following… Image
Two weeks later, WHO Director-General Tedros Adhanom Ghebreyesus said “We are not just fighting an epidemic; we’re fighting an infodemic. Fake news spreads faster and more easily than this virus, and is just as dangerous”.

A flurry of papers, reports & news articles followed. Image
Read 48 tweets
Sep 29, 2020
I see Cambridge Analytica is trending again because of this Channel 4 documentary exposing the Trump campaign’s attempted deterrence of Black voters in 2016.

Unpopular opinion: This documentary has some big structural flaws.

Why? Hear me out…
A general point: How is it possible that not a single expert was consulted on this?

Lots of ppl have studied this & would have been able to contextualise some of the claims…

E.g. @kreissdaniel, @shannimcg, @jesse_b_p, @ajungherr, @sivavaid, @davekarpf, @eithanhersh
Had they bothered to ask, @davekarpf would have told them that this is “just” negative advertising (which is still despicable), but not structural voter suppression (eg closing polling stations, etc.). More in this short thread here:

Read 25 tweets

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