My article on @TheJournal , calling for toxic algorithms on social media to be banned!

https://jrnl.ie/6901718

#socialmedia #australia #ireland #eu #socialmediaban #bansocialmedia #recommendersystems #democracy #farright #extremism #fascism #online #irish #irishpolitics #eupolitics #europe #eu #toxicalgorithms #algorithm #algorithms

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.

#recommendersystems #researchgate #academia #academicchatter

Ever wondered why your perfectly optimized recommender system underperforms in the real world? 🤔 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. 📈

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: https://fanyangmeng.blog/recommender-system-evaluation-part-3/ #RecommenderSystems

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

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: https://doi.org/10.26298/1981-5982-euom #DigitalEthics

🔗 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.

👉 𝗗𝗼𝗻’𝘁 𝗺𝗶𝘀𝘀 𝗼𝘂𝘁! 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗻𝗱 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝘁𝗼𝗱𝗮𝘆: https://impact.dataschool.nl/events/making-a-difference-societal-impact-through-collaborative-research/

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

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 🙌

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

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.

https://doi.org/10.1080/1369118X.2024.2435998

@commodon @communicationscholars #PoliticalCommunication #SocialMedia

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.
https://dl.acm.org/pb-assets/static_journal_pages/tors/pdf/TORS_SI-Recommender-Systems-for-Good-1721933817383.pdf

Graph Convolutional Networks (GCNs) are revolutionizing recommender systems! 🔍📊 Learn how GCNs improve recommendation accuracy by understanding complex relationships in data. Ready to dive into the future of AI-driven recommendations? 👇 #AI #GCN #RecommenderSystems #MachineLearning

https://pupuweb.com/how-do-graph-convolutional-networks-gcns-transform-recommender-systems/

📚 A Tribute to Information Overload 📚

Information overload isn’t just a problem—it’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.

I’d love to hear your thoughts on how you navigate the overload.

https://medium.com/@n.nanas/a-tribute-to-information-overload-228303ba7ce4

#Personalization #RecommenderSystems #Research
#DigitalMedia #OpenScience #ContentDiscovery #AI #TechInnovation #MediaTransformation

What are the main trends of Music Recommender Systems Research? 🎶

At #ACMRecSys2024, cutting-edge research is shaping the future of music recommendation. Curious about the top trends? 👉 Read the full article to stay ahead: https://www.linkedin.com/pulse/main-trends-music-recommender-systems-research-acm-recsys-porcaro-nb2tf/

#MusicTech #RecommenderSystems

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!
#recommendersystems #summerschool #ACM

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 media’s impact on adolescent mental health. Next, I’m taking a break before returning to Sapienza Università di Roma as a postdoctoral fellow. I’ll be sharing more about my research in #RecommenderSystems #MusicTech and #AlgorithmicAuditing soon. Stay tuned for updates!

Measuring Bias in Job #RecommenderSystems: Auditing the Algorithms https://d.repec.org/n?u=RePEc:nbr:nberwo:32889&r=&r=ain
"…recommender systems show different jobs to identical male & female job seekers, though most of the jobs overlap
…women are steered towards jobs that pay less, are in smaller firms, & require less experience, suggesting a lower rank in firms’ hierarchies
…steer men & women towards job ads that contain words that are stereotypical for their gender"
#LaborMarkets

What’s the most common question in an ML Design interview? Hint: it’s not about fancy algorithms. It’s about recommender systems. Watch to learn more: https://buff.ly/3ZoByO9 #MLEngineer #RecommenderSystems

The next round of our Algorithmic Accountability Reporting Fellowship is just around the corner! 🚀

Got questions? Join us for a Q&A session with Naiara Bellio from our Journalism team TODAY at 6 pm: https://algorithmwatch.org/en/apply-fellowship/

In this round, we're diving deep into the political economy of AI, exploring crucial topics like #generativeAI and #recommenderSystems. Our aim? To unravel the AI value chain and its far-reaching impact on society, particularly on specific population groups.

Do you have any thoughts on where #recommendersystems are going? Should we be thinking about #recsys differently? Be sure to submit an extended abstract to the #INTROSPECTIVES2024 workshop at #recsys2024 https://introspectives.github.io/2024/ @Recsys

We support the Hope & Courage Collective open letter!

We must ban recommender systems on social media, so that algorithms no longer amplify the far-right online.

We deserve to have control over what we see online!

#RecommenderSystems #Algorithms #FarRight

+++ Submission deadline extended to 23.06.2024! 🚨

Are you working on #personalization, #recommenderSystems, or #adaptiveInterfaces in the fields of #HCI, #CSCW, and/or #XR?

Consider submitting to our workshop **ABIS 2024 – International Workshop on Personalized Human-Computer Interaction and Recommender Systems** held at Mensch und Computer 2024! 🚀

Find more information here: https://fg-abis.gi.de/veranstaltung/abis-2024

Original Post: https://hci.social/@jannis/112518335611639152