Scholar

Richard Fletcher

H-index: 25
Communication & Media Studies 27%
History 17%
richardfletcher.bsky.social
Looking forward to presenting the results of this report at the News Impact Summit in Warsaw tomorrow.

ejc.net/events/news-...
richardfletcher.bsky.social
But if we look at the difference between the proportion that trust and the proportion that distrust we start to see some patterns.

⬆️ A few systems, like ChatGPT, Gemini and Copilot are more trusted than distrusted.

⬇️ Others, like Meta AI and DeepSeek are more distrusted than trusted.
richardfletcher.bsky.social
Finally, some data on trust. It's difficult to interpret data on trust in gen AI systems at the moment because there is limited public awareness - with the exception of ChatGPT, 50% or more have not even heard of them.
richardfletcher.bsky.social
In more detail we can see that while most 'getting information' tasks have grown in the last year, most media creation tasks have not - with the exception of using generate AI to create images.
richardfletcher.bsky.social
What are people using gen AI for?

We've seen a significant shift in the last year, with using AI to get information (e.g. answering factual questions) overtaking using it to create media (e.g. writing emails, making images).

Will this be the main use of gen AI in the future?
richardfletcher.bsky.social
No surprises that there's an age gap in the use of gen AI, with use more widespread among younger people.

But this only applies to standalone systems like ChatGPT. For AI embedded in other products, like Meta AI and Copilot, there's no age gap because the host product is used by people of all ages.
richardfletcher.bsky.social
On the use of specific systems, ChatGPT is still the most widely used (22% weekly) - ahead of Gemini (11%), Meta AI (9%) and Copilot (6%).

Worth remembering that the public's use of a lot of the tools favoured by experts, like Claude and Perplexity, is still very marginal - 1% weekly.
richardfletcher.bsky.social
A thread on how people's use of generative AI has changed in the last year - based on survey data from 6 countries (🇬🇧🇺🇸🇫🇷🇩🇰🇯🇵🇦🇷 ).

First, gen AI use has grown rapidly.

Most people have tried out gen AI at least once (61%), and 34% now use it on a weekly basis - roughly doubling from 18% a year ago.
richardfletcher.bsky.social
New paper on news avoidance around climate change, based on data from 8 countries.

We aim to add a bit of nuance to what we already know about news avoidance in general, particularly on the association between avoidance and specific emotional responses to climate news.

doi.org/10.1177/1464...

Reposted by: Richard Fletcher

rasmuskleis.bsky.social
How do people think different sectors’ use of generative AI will change their experience of interacting with them?

More optimists than pessimists for e.g. science and search engines, but more pessimists than optimists for news media, government, and – especially – politicians 1/3

Reposted by: Richard Fletcher

reutersinstitute.bsky.social
How do people use generative AI in their daily lives? And how do they use it for news?
These are two of the questions we explore in a new report, based on fresh survey data from 🇦🇷🇩🇰🇫🇷🇯🇵🇬🇧🇺🇸

🔗 Full report
buff.ly/mv3Jc5r
🧵 Key findings in thread
felixsimon.bsky.social
🚨✨ Publication alert: How do people in 6 countries (🇬🇧 🇺🇸 🇫🇷 🇦🇷 🇩🇰 🇯🇵 ) use AI 🤖 and think about it in the context of information, news, and institutions?

Our new @reutersinstitute.bsky.social survey research (n ≈ 12,000) with @richardfletcher.bsky.social & @rasmuskleis.bsky.social explores this.

Reposted by: Richard Fletcher

reutersinstitute.bsky.social
🤩 Meet our new Journalist Fellows joining us this term:

🇦🇺 Vince Chadwick
🇺🇸 Dante Dallago
🇧🇬 Boryana Dzhambazova
🇳🇬 Patrick Egwu
🇫🇮 Salla-Rosa Gröhn
🇮🇳 Banjot Kaur
🇬🇧 William Kremer
🇲🇽 Adriana Navarro Ramírez
🇭🇷 Barbara Strbac
🇵🇸 Shatha Yaish

reutersinstitute.politics.ox.ac.uk/news/10-jour...

Reposted by: Richard Fletcher

felixsimon.bsky.social
Always a bit awkward to do these posts but I was delighted to learn at the Future of Journalism Conference last week that I won @digitaljournalism.bsky.social's Outstanding Article of the Year Award for my paper on how AI reshapes the news' dependency on platforms companies.
richardfletcher.bsky.social
Delighted to take on this extra role alongside my current role as Director of Research!
reutersinstitute.bsky.social
We are thrilled to announce that our Director of Research @richardfletcher.bsky.social has been named Deputy Director of the Reuters Institute. He will take on an expanded role while still leading its research team

Read our announcement
reutersinstitute.politics.ox.ac.uk/news/directo...

Reposted by: Richard Fletcher

reutersinstitute.bsky.social
We are thrilled to announce that our Director of Research @richardfletcher.bsky.social has been named Deputy Director of the Reuters Institute. He will take on an expanded role while still leading its research team

Read our announcement
reutersinstitute.politics.ox.ac.uk/news/directo...
richardfletcher.bsky.social
Worth noting that overall people are more likely to think that people their age, gender, and political views are covered fairly than unfairly (though large %s say don't know).

Also important to remember that these are people's perceptions. People can see fairness or unfairness where there is none.
richardfletcher.bsky.social
We do not find much evidence of this.

But, middle-aged people in countries with more middle-aged journalists are more likely to think coverage of people their age is fair.

That's not to say representation isn't important - and for various reasons it is hard to find patterns at the national level
richardfletcher.bsky.social
We used @worldsofjournalism.bsky.social data to see whether fairness perceptions map onto demographic differences within the journalistic profession (eg. are women more likely to think they are covered fairly in countries with more women journalists?)
richardfletcher.bsky.social
Those on the left and right are typically less likely than those in the centre to think their political views are covered fairly - but the results vary a lot by country.

In the US those on the right are much less likely to think their views are covered fairly, but this is not a common pattern.
richardfletcher.bsky.social
In most countries women are less likely than men to think that coverage of people their gender is fair.
richardfletcher.bsky.social
Perceived fairness of coverage of "people my age" tends to have a curved relationship with age - so the youngest and oldest are less likely to think coverage is fair than those in middle age.
richardfletcher.bsky.social
New paper with @kirstenaeddy.bsky.social in Journalism on whether people across 45 countries think news coverage of people their age, their gender, and with their political views is fair or unfair.

We outline some interesting demographic differences (more details in 🧵)...

doi.org/10.1177/1464...

Reposted by: Richard Fletcher

reutersinstitute.bsky.social
📌 We are looking for a new Director of Journalist Programmes

The successful candidate will lead on the delivery, strategic development, and long-term financial sustainability of all Journalist Programmes at the Institute.

Apply by Mon 1 Sept, noon (UK time)
More info: buff.ly/FTCNDd1

Reposted by: Richard Fletcher

eduardosuarez.bsky.social
...And it happened again!

It's worth keeping in mind:

1. The name and logo there are the Washington Post's , not Apple's.
2. There is no AI labelling and no way whatsoever for users to know these are summaries created by Apple, not the news org.
bsky.app/profile/geof...
geoffreyfowler.bsky.social
This is my periodic rant that Apple Intelligence is so bad that today it got every fact wrong its AI a summary of @washingtonpost.com news alerts.

It's wildly irresponsible that Apple doesn't turn off summaries for news apps until it gets a bit better at this AI thing.

References

Fields & subjects

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