#RecommenderSystems

Killian Mangan๐Ÿ‡ฎ๐Ÿ‡ชkillianm97@mastodon.ie
2026-01-30

I hope other parties will support this common sense measure!

And fair play to the Hope and Courage Collective for the great work that they have been doing on this issue!

My article on @TheJournal goes into more detail on the harms that these toxic algorithms cause: thejournal.ie/prev/6901718/dvO

#Ireland #IrishPolitics #Algorithms #RecommenderSystems #ToxicAlgorithms #SocialMedia #EUPolitics #Democracy #MentalHealth #Tech #TechRegulation

Killian Mangan๐Ÿ‡ฎ๐Ÿ‡ชkillianm97@mastodon.ie
2026-01-30

I'm really happy to see political parties beginning to take toxic algorithms seriously!

We must force private, for-profit social media companies to turn off their recommender systems *for everyone* for good - so we can once again regain freedom to choose what we see online, like we had until 2014 when the doom spiral began!

fm104.ie/news/fm104-news/peopl

#Ireland #IrishPolitics #Algorithms #RecommenderSystems #ToxicAlgorithms #SocialMedia #EUPolitics #Democracy #MentalHealth #Tech #TechRegulation

2026-01-27

Paige Saunders @paige (rather than Dawn Walker @dawn as I erroneously wrote earlier!) has this great video, 'We Have An Algorithm Problem' at video.fedihost.co/w/a1522517-7, where he says that fediverse users' suspicion of algorithms is completely warranted, but now that we have been able to opt out of algorithmic content where we had zero agency, we need a conversation about what it means to opt in with algorithms under our own control.

#ContentAlgorithms #RecommenderSystems

Rohan Paul (@rohanpaul_ai)

์ผ๋ก  ๋จธ์Šคํฌ๊ฐ€ X์—์„œ 'ํ”„๋กฌํ”„ํŠธ ๊ฐ€๋Šฅํ•œ(promptable)' ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๊ฐœ๋ฐœ ์ค‘์ด๋ผ๊ณ  ํ™•์ธํ–ˆ๋‹ค๋Š” ํŠธ์œ—์ž…๋‹ˆ๋‹ค. ์‚ฌ์šฉ์ž์˜ ์ž์—ฐ์–ด ์ง€์‹œ๋ฅผ ๊ทœ์น™์œผ๋กœ ๋ฐ›์•„๋“ค์—ฌ ํ”ผ๋“œ ๋…ธ์ถœ ์ˆœ์œ„๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๋งž์ถคํ˜• ํ”ผ๋“œ(์ปค์Šคํ…€ ํ”ผ๋“œ) ์ˆœ์œ„ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋„์ž…์„ ์˜ˆ๊ณ ํ•˜๋Š” ์ค‘์š”ํ•œ ๊ฐœ์ธํ™”ยท์ถ”์ฒœ ์‹œ์Šคํ…œ ๋ฐœํ‘œ์„ฑ ๋‚ด์šฉ์ž…๋‹ˆ๋‹ค.

x.com/rohanpaul_ai/status/2012

#x #elonmusk #personalization #recommendersystems #ai

Ecologia Digitaljosemurilo@mato.social
2025-12-28

"Banning #socialmedia for young people will ignore the incredibly harmful societal effects of modern social media for most of the populationโ€ฆ
The most immediate solution is to ban companies from using #recommendersystems entirely (outside a few specific cases); that would restore our freedom to choose what we see online, and at least pause our descent into the years-long spiral towards increased extremism, misinformation, social media addiction & polarisation."
thejournal.ie/readme/opinion-s

Dr PenDrPen
2025-10-30

I love it when recommender systems are so chronically off that it just confirms the coming automated dystopian future we have built will be 90% Brazil and 10% LOTF.

A screenshot of an email from ResearchGate that says, We found a free webinar that matches your interests. The body of the message says, A reliable CNS safety assessment method. CNS safety risks often go undetected in the GLP talk studies because animal models fail to predict human neurological effects. CNS-3D brain organoids are 7.4 times more accurate than animal models offering a more reliable CNS safety assessment. 

It has to be said that I am not a neurological or biological scientist. I am in fact a technology in society, in urban and learning contexts academic. So in fact have absolutely nothing to do with this field of study.
Fanyang Meng :verified:FanyangMeng@mfy.social
2025-06-16

Ever wondered why your perfectly optimized recommender system underperforms in the real world? ๐Ÿค” My latest blog post, 'Recommender System Evaluation (Part 3): Real-World Deployment - When Rubber Meets the Road,' uncovers the crucial disconnect between offline metrics like accuracy and diversity, and actual live performance.

It's not enough to have great algorithms in theory. We delve into the complexities of real-world deployment, exploring vital aspects like proper A/B testing, understanding business impact (CTR, conversion, retention), balancing short-term vs. long-term goals, and ensuring fairness and mitigating bias in recommendations. ๐Ÿ“ˆ

Discover how to bridge this gap with practical evaluation frameworks and build systems that truly deliver value. Read the full insights and code examples here: fanyangmeng.blog/recommender-s #RecommenderSystems

2025-06-02

For the past couple of weeks I have turned off my home feed on youtube and am only using the subscriptions button which behaves like an RSS feed.

Without dopamine optimising suggestions I am saving so much time! Highly recommended :D

#UsersAreFodder #RecommenderSystems #DopamineCulture #youtube #rss #SiValleyGrift

2025-04-28

Explore how #recommenderSystems shape the #public in deliberative #democracies. This recently published whitepaper by Melusina offers a solid foundation for policymakers navigating digital transformation. Read more: doi.org/10.26298/1981-5982-euo #DigitalEthics

2025-03-27

๐Ÿ”— Whether you're a researcher, data scientist, journalist, or industry professional, this workshop will spark meaningful conversations about how we can collaborate to advance technology responsibly and ethically.

๐Ÿ‘‰ ๐——๐—ผ๐—ปโ€™๐˜ ๐—บ๐—ถ๐˜€๐˜€ ๐—ผ๐˜‚๐˜! ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ฟ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐˜๐—ผ๐—ฑ๐—ฎ๐˜†: impact.dataschool.nl/events/ma

#RecommenderSystems #Conference #Collaboration #Algorithms #AI #Ethics

Killian Mangan๐Ÿ‡ฎ๐Ÿ‡ชkillianm97@mastodon.ie
2025-03-23

On top of banning all Recommender Systems on social media, we must change from being powerless users of Tech giant services into having democratic collective control of algorithms on all services we use!

Tech platform co-ops creating apps and services which users can democratically and collectively control ๐Ÿ™Œ

#AI #Algorithm #Internet #RecommenderSystems #AIRegulation #Tech #Technology #Politics #EchoChamber #SocialMedia #Algorithms #Coops #Cooperatives #Democracy #Culture #BigTech #Extremism

Philipp Mรผllerkommueller@sciences.social
2025-01-30

NEW STUDY OUT IN IC&S

Putting #FilterBubble Effects to the Test

In an experimental survey study with real #news #recommendersystems (#NRS), we find **limited** support for #polarization effects of #algorithms inducing "filter bubble" like information environments.

Data also show how balanced algorithms may promote #depolarization.

doi.org/10.1080/1369118X.2024.

@commodon @communicationscholars #PoliticalCommunication #SocialMedia

Screenshot of the article title and abstract of the study which is linked in the post.
2024-11-15

Still trying to figure out how to scratch your #recsys itch after this year's @Recsys? Have a look at the #ACMTORS Call for papers for the Special Issue on #RecommenderSystems for Good. Will you be be submitting a paper as an xmas gift to the RecSys community? // @Nava et al.
dl.acm.org/pb-assets/static_jo

PUPUWEB Blogpupuweb
2024-11-14

Graph Convolutional Networks (GCNs) are revolutionizing recommender systems! ๐Ÿ”๐Ÿ“Š Learn how GCNs improve recommendation accuracy by understanding complex relationships in data. Ready to dive into the future of AI-driven recommendations? ๐Ÿ‘‡

pupuweb.com/how-do-graph-convo

Nikolaos Nanasnikolaos_nanas
2024-10-16

๐Ÿ“š A Tribute to Information Overload ๐Ÿ“š

Information overload isnโ€™t just a problemโ€”itโ€™s a phenomenon shaping everything from media to research. In my latest essay, I dive into how this constant flood of data continues to transform technology and content discovery.

Iโ€™d love to hear your thoughts on how you navigate the overload.

medium.com/@n.nanas/a-tribute-


Lorenzo Porcaro (@RecSys25)plorenzzz
2024-10-16

What are the main trends of Music Recommender Systems Research? ๐ŸŽถ

At , cutting-edge research is shaping the future of music recommendation. Curious about the top trends? ๐Ÿ‘‰ Read the full article to stay ahead: linkedin.com/pulse/main-trends

Lorenzo Porcaro (@RecSys25)plorenzzz
2024-10-08

First day of the ACM Europe School on Recommender Systems 2024! Good to be back behind the university desks
Thanks @alansaid for the overview of the RecSys history!

Lorenzo Porcaro (@RecSys25)plorenzzz
2024-09-25

This week marks the end of my time at the Joint Research Centre. I'm grateful to have contributed to the European Centre for Algorithmic Transparency, data access for researchers under DSA Article 40, and studying social mediaโ€™s impact on adolescent mental health. Next, Iโ€™m taking a break before returning to Sapienza Universitร  di Roma as a postdoctoral fellow. Iโ€™ll be sharing more about my research in and soon. Stay tuned for updates!

Dennis Alexis Valin Dittrichdavdittrich@fediscience.org
2024-09-18

Measuring Bias in Job #RecommenderSystems: Auditing the Algorithms d.repec.org/n?u=RePEc:nbr:nber
"โ€ฆrecommender systems show different jobs to identical male & female job seekers, though most of the jobs overlap
โ€ฆwomen are steered towards jobs that pay less, are in smaller firms, & require less experience, suggesting a lower rank in firmsโ€™ hierarchies
โ€ฆsteer men & women towards job ads that contain words that are stereotypical for their gender"
#LaborMarkets

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