Re: Rebuilding Local News

I am currently studying the effects of digital media on the rise of
mis/disinformation for my thesis work and I would also recommend reading
work by noted philosopher and professor Thi Nguyen, who writes about the
deep psychological methods utilized by media platforms such as Twitter (now
"X") to amplify sensational information. His piece "How Twitter Gamifies
Communication <https://philpapers.org/go.pl?id=NGUHTG&aid=NGUHTGv1>" gets
into the weeds and explains how such tactics tend towards reinforcing
epistemic bubbles and echo chambers. His entire body of work is worth more
exploration if this area interests folks (
https://objectionable.net/philosophy/)

Creating new platforms is a hard uphill battle and I'm not convinced yet
that is the solution here. I do subscribe to the belief that the loss of
local news is having a profound effect on how false information spreads and
am grateful for your efforts here - I've bookmarked a lot of what you've
sent and plan to do some more deep diving. So thank you for sharing this!

emily

On Mon, Nov 13, 2023 at 2:01 AM Adam Sobieski <adamsobieski@hotmail..com>
wrote:

> Civic Technology Community Group,
>
>
> Following-up on that hyperlink to *Rebuild Local News*
> <https://www.rebuildlocalnews.org/>, I would like to share some more
> information, theories, and opinions about how interoperating
> media-psychological, sociological, technological, attention-economic, and
> economic systems may have contributed to – and may still be contributing
> to – the decline of local and community news.
>
>
> Firstly, from a statistics-filled 2021 blog article, *16 Eye-opening
> Negative News Statistics You Need to Know*
> <https://letter.ly/negative-news-statistics>:
>
>    1. Approximately 90% of all media news is negative.
>    2. Sensational stories form 95% of media headlines.
>    3. Nielsen ratings are at fault for 50% of negative news statistics.
>    4. 38% of Americans believe the media exaggerated the COVID-19
>    coverage.
>    5. Approximately 1 in 10 American adults checks the news every hour.
>    6. A website lost 66% of its readers when it published positive
>    stories for a day.
>    7. Studies show that headlines with bad news catch 30% more attention.
>    8. Reports show 65% of news organizations ignore mistakes.
>    9. Around 26.7% of people that are exposed to negative news go on to
>    develop anxiety.
>    10. An average of 79% of media companies print biased stories for
>    advertisers.
>    11. Headline manipulation has been proven to double readership.
>    12. A staggering 87% of the COVID-19 coverage in 2020 was negative.
>    13. People are 49% more likely to read something negative than
>    positive.
>    14. 63% of kids aged 12–18 say that watching the news makes them feel
>    bad.
>    15. Most people blame the public for the popularity of negative news
>    headlines.
>    16. 79% of Americans believe media articles are not balanced in their
>    arguments.
>
>
> Secondly, here are a few relevant encyclopedia articles:
>
>    - Attention economy <https://en.wikipedia.org/wiki/Attention_economy>
>    - Mediatization <https://en.wikipedia.org/wiki/Mediatization_(media)>
>    <https://en.wikipedia.org/wiki/Mediatization_(media>
>    - Influence of mass media
>    <https://en.wikipedia.org/wiki/Influence_of_mass_media>
>    <https://en.wikipedia.org/wiki/Influence_of_mass_media>
>    - Media psychology <https://en.wikipedia.org/wiki/Media_psychology>
>    - Sociotechnology <https://en.wikipedia.org/wiki/Sociotechnology>
>
>
> Thirdly, here are a couple of scholarly and scientific publications about
> news-sharing behaviors on social media:
>
>    - Lee, Chei Sian, Long Ma, and Dion Hoe-Lian Goh. "Why do people share
>    news in social media?." In Active Media Technology: 7th International
>    Conference, AMT 2011, Lanzhou, China, September 7-9, 2011. Proceedings 7,
>    pp. 129-140. Springer Berlin Heidelberg, 2011.
>    - Wong, Lorraine YC, and Jacquelyn Burkell. "Motivations for sharing
>    news on social media." In Proceedings of the 8th International conference
>    on social media & society, pp. 1-5. 2017.
>
>
> Fourthly, around 2014, some system changes were needed and implemented to
> mitigate clickbait models. From a Wikipedia article, Clickbait
> <https://en.wikipedia.org/wiki/Clickbait>:
>
> By 2014, the ubiquity of clickbait on the web had begun to lead to a
> backlash against its use. Satirical newspaper The Onion launched a new
> website, ClickHole, that parodied clickbait websites such as Upworthy and
> BuzzFeed, and, in August 2014, Facebook announced that it was taking
> technical measures to reduce the impact of clickbait on its social network,
> using, among other cues, the time spent by the user on visiting the linked
> page as a way of distinguishing clickbait from other types of content. Ad
> blockers and a general fall in advertising clicks also affected the
> clickbait model, as websites moved toward sponsored advertising and native
> advertising where the content of the article was more important than the
> click-rate.
>
>
> In my opinion, new solutions for rebuilding local and community news will
> be found by considering interoperating media-psychological, sociological,
> technological, attention-economic, and economic systems. Any thoughts on
> these approaches or on any other approaches?
>
>
>
> Best regards,
>
> Adam Sobieski
>
> P.S.: Also, for purposes of discussion, here are some technology-related
> ideas: (1) manual, semi-automated, and automated news aggregation on
> community portals and pages on social media, (2) new models of and user
> experiences for sharing news content on social media, e.g., sharing with
> automatically-collated groups of users' contacts who also reside in their
> communities, cities, and towns, (3) routing news content to users based on
> their preferences, settings, and configurations, (4) personalized digital
> newspapers, (5) news distribution techniques based on real-time event
> stream processing, and (6) decentralized software systems with
> digital-signatures-based features for contributing, verifying, and upvoting
> news content.
>
> ------------------------------
> *From:* Adam Sobieski <adamsobieski@hotmail.com>
> *Sent:* Friday, November 10, 2023 10:39 PM
> *To:* public-civics@w3.org <public-civics@w3.org>
> *Subject:* Rebuilding Local News
>
> Civic Technology Community Group,
>
> Hello. I would like to share a hyperlink to *Rebuild Local News *(
> https://www.rebuildlocalnews.org/).
>
> Local news is collapsing – threatening the civic well-being of American
> towns and cities. The Rebuild Local News Coalition advocates for
> nonpartisan public policies to increase the number of reporters covering
> schools, city hall, businesses, and other facets of community life.
>
>
> Rebuild Local News is a nonpartisan , nonprofit coalition whose member
> organizations 3,000+ newsrooms, including family-owned newspapers,
> nonprofit websites, weeklies, ethnic publications, hyperlocal sites, and
> rural papers – as well as civic organizations and other groups pushing to
> save local journalism.
>
>
>
> Any thoughts on how AI and civic technology could help to contribute to
> rebuilding local news? Thank you.
>
>
> Best regards,
> Adam Sobieski
>
>

-- 
Emily Ryan
*emily.ryan@civicactions.com <emily.ryan@civicactions.com>*