Neil Thurman

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Professor at LMU Munich's Department of Media and Communication; Honorary Senior Research Fellow in the Department of Journalism at City, University of London; and Volkswagen Foundation Freigeist Fellow.
Websitehttps://neilthurman.com/
Google Scholarhttps://scholar.google.com/citations?user=niz-ERMAAAAJ&hl=en
Twitterhttps://twitter.com/neilthurman
LinkedInhttps://www.linkedin.com/in/neilthurman/

We compare audience perceptions of news videos made with various levels of AI-involvement (high, medium & none). On average consumers liked automated news videos as much as manually made ones, but only when the automation process involved human post-editing:

https://journals.sagepub.com/doi/10.1177/14648849241243189

A reminder of the importance of message variance in communication research. We fielded a survey experiment with 14 sets of 3 videos. Each set had a manually-made, a partly-automated & a highly-automated video. The set of Trump videos had statistically significant contrasts between the automation levels for 10 evaluation items. However, the sets of videos on Musk & 5G stories had none! Stark take-home message: relying on 1 or 2 sets of messages is highly problematic:

https://journals.sagepub.com/doi/10.1177/14648849241243189

What do readers actually pay attention to when consuming data-driven 📊 news, including automated stories?

🚨 Our in-depth investigation reveals 28 perception criteria that have application in future research on how audiences perceive different types of data-driven journalism.

For journalists producing data-driven reporting, our findings indicate what audiences want: that it is constructive, concise, provides analysis, has a human angle, and includes visual elements:

https://journals.sagepub.com/doi/10.1177/14648849231179606

In our new study we compare audience perceptions of news videos made with 3 levels of AI-involvement: high, partial & none.

The partially automated videos received human post-editing.

Our results show automated news videos need human post-editing to be as well-liked as human-made videos.

On average, consumers liked automated news videos as much as manually made ones, but only when the automation process involved human post-editing.

Full study is #openaccess on SSRN:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4304961

What are the reasons viewers choose a specific program on a VOD platform? In our new study we found that the duration of availability of a program & its placement in the platform’s online interfaces strongly influences its VOD viewership. A program’s genre was not as significant an influence.

Our study's findings challenge the assumption that viewers exercise significantly higher levels of control when consuming content on VOD platforms as opposed to on linear TV:

https://journals.sagepub.com/doi/10.1177/13548565231174590

How can online newspapers increase readers' willingness to pay?

We tested 4 different advertising messages—alone and in combination.

We found that an online subscription pitch was most effective when it contained 2 messages:

1 emphasizing a subscription supports independent, inclusive, & watchdog journalism.

Another, giving the difficult financial situation of the news industry as a reason for introducing online subscriptions.

Full study:

https://ijoc.org/index.php/ijoc/article/view/19984

@bartoszwilczek

Subscribe Now: On the Effectiveness of Advertising Messages in Promoting Newspapers’ Online Subscriptions | Wilczek | International Journal of Communication

Subscribe Now: On the Effectiveness of Advertising Messages in Promoting Newspapers’ Online Subscriptions