This week, @emilybell & I will be joined by Charlie Beckett, @ndiakopoulos & Uli Köppen at the International Journalism Festival to talk about AI, platforms, and news. #ijf23
Come to say hello and/or ask us tough questions or watch via the live stream: https://www.journalismfestival.com/programme/2023/the-elephant-in-the-room-could-ai-give-technology-giants-more-control-over-the-news
The elephant in the room: could AI give technology giants more control over the news?
If you attended any news conference in recent years, one thing will have stuck out: almost everyone seems to be excited by the possibilities of using artificial intelligence for journalism. And indeed, AI looms large in modern-day newswork. Journalists the world over nowadays rely on AI to quickly translate or transcribe text and audio, parse throu...
Over the last 1 1/2 years, I talked to 150+ research journalists and experts to understand what #AI will (and won't) mean for journalism and the news.
With generative AI making headlines, I have summarised some thoughts here for
@oiioxford
https://www.oii.ox.ac.uk/news-events/news/ai-will-not-revolutionise-journalism-but-it-is-far-from-a-fad/
OII | AI will not revolutionise journalism, but it is far from a fad
The technology is a chance for the news if used wisely, argues Felix Simon, doctoral researcher, Oxford Internet Institute, University of Oxford.
"We seem to be being led by a remarkably similar group of…wealthy technologists…down yet another untested and unregulated track"
Great piece by @emilybell on the pitfalls of AI in journalism, with comments from myself, @CharlieBeckett & @merbroussard
https://www.theguardian.com/commentisfree/2023/mar/03/fake-news-chatgpt-truth-journalism-disinformation
A fake news frenzy: why ChatGPT could be disastrous for truth in journalism
A platform that can mimic humans’ writing with no commitment to the truth is a gift for those who benefit from disinformation, says Emily Bell, director of the Tow Center for Digital Journalism
We hope this document will be useful to journalists, executives and policymakers alike—and clearly show that there is hope and that better climate journalism is possible, if we want it.
Link again, here: https://www.ebu.ch/guides/open/report/news-report-2023-climate-journalism-that-works
(Perhaps of interest to @rahmstorf?)
News Report 2023: Climate journalism that works
In this year's News Report, you'll find case studies to help you deliver climate-related journalism that will resonate with your audiences. They'll also guide you when reorganizing newsrooms and building expertise across all genres, ensuring transversal climate coverage.
Spearheaded by Alexandra Borchardt, with writing support by Katherine Dunn and myself, this report details on 180 pages what has been done, can be done, and should be done by news media to address and adequately report on the most important issue of our time. It was a gargantuan effort to bring all these different perspectives together and we will have likely missed out on some things but we really tried to come at this from a macro perspective, while remaining practical in our advice.
🌳 Our work of 8 months has come to an end, but for many news organisations it only just begins. Very happy to see the
European Broadcasting Union (EBU) News Report 2023 on “Climate Journalism That Works” out in the wild—with many case studies & summaries of latest research.
🌳🪴 https://www.ebu.ch/guides/open/report/news-report-2023-climate-journalism-that-works
#climatechange #journalism #strategy #innovation #media
News Report 2023: Climate journalism that works
In this year's News Report, you'll find case studies to help you deliver climate-related journalism that will resonate with your audiences. They'll also guide you when reorganizing newsrooms and building expertise across all genres, ensuring transversal climate coverage.
The elephant in the room: could AI give technology giants more control over the news?
If you attended any news conference in recent years, one thing will have stuck out: almost everyone seems to be excited by the possibilities of using artificial intelligence for journalism. And indeed, AI looms large in modern-day newswork. Journalists the world over nowadays rely on AI to quickly translate or transcribe text and audio, parse throu...
Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models
This work describes a chronological (2000–2019) analysis of sentiment and emotion in 23 million headlines from 47 news media outlets popular in the United States. We use Transformer language models fine-tuned for detection of sentiment (positive, negative) and Ekman’s six basic emotions (anger, disgust, fear, joy, sadness, surprise) plus neutral to automatically label the headlines. Results show an increase of sentiment negativity in headlines across written news media since the year 2000. Headlines from right-leaning news media have been, on average, consistently more negative than headlines from left-leaning outlets over the entire studied time period. The chronological analysis of headlines emotionality shows a growing proportion of headlines denoting anger, fear, disgust and sadness and a decrease in the prevalence of emotionally neutral headlines across the studied outlets over the 2000–2019 interval. The prevalence of headlines denoting anger appears to be higher, on average, in right-leaning news outlets than in left-leaning news media.
@Dubikan Well, recommendations are "bad" if the systems are not designed in the way you imagine (as these aspect include specific design choices). As for clickbait headlines, I am with you!
Hive-mind: Do you know of any good studies/meta-analyses/lit reviews that news coverage as a whole has become more negative over time?
