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Following surveys of Facebook users, [27] this desire for change will take the form of a reconfiguration of the News Feed algorithms in order to: Prioritize content of family members and friends (Mark Zuckerberg January 12, Facebook: [28] "The first changes you'll see will be in News Feed, where you can expect to see more from your friends, family and groups".)
To do online profiling of users and cluster users, marketers and companies can and will access the following kinds of data: gender, the IP address and city of each user through the Facebook Insight page, who "LIKED" a certain user, a page list of all the pages that a person "LIKED" (transaction data), other people that a user follow (even if it ...
When you choose to follow another Twitter user, that user's tweets appear in reverse chronological order on your main Twitter page. If you follow 20 people, you'll see a mix of tweets scrolling down the page: breakfast-cereal updates, interesting new links, music recommendations, even musings on the future of education.
Algorithmic radicalization is the concept that recommender algorithms on popular social media sites such as YouTube and Facebook drive users toward progressively more extreme content over time, leading to them developing radicalized extremist political views. Algorithms record user interactions, from likes/dislikes to amount of time spent on ...
This need to find a solution only becomes even more pressing as we move forward, since what a neural network like OpenAI’s GPT-4 is at its most basic level is an algorithm harnessing data ...
A Twitter image-cropping algorithm that went viral last year when users discovered it preferred white people to Black people was also coded with implicit bias against other groups.
The Graph Search feature combined the big data acquired from its over one billion users and external data into a search engine providing user-specific search results. In a presentation headed by Facebook CEO Mark Zuckerberg, it was announced that the Graph Search algorithm finds information from within a user's network of friends.
Several users posted a lot of photos to show that in an image that has people with different colors, Twitter chooses to show folks with lighter skin after cropping those images to fit its display ...