Instagram Testing Improved Content Recommendation Controls; Working on Filtering Content Using Hashtags, Emoji

Instagram is introducing changes to its application to enable users to inform the service about posts that are recommended to them. In a move that appears to be aimed at improving the algorithm used to serve users with customised content based on their actions and activity on Instagram, the company says it will make it easier for users teach the service to recognise posts that they aren’t interested in seeing in various sections of the app that serve personalised content.

The Meta-owned service announced in a blog post on Tuesday that it has begun testing the ability to allow allow users to select multiple posts in the Explore tab, and to inform the service that they are not interested in those posts. Until now, Instagram users would have to open (or long press) a post and indicate that they were not interested in the post, which could be a tedious process when the Explore feed is filled with irrelevant posts.

Instagram is also working on allowing users to filter out strangers’ posts containing specific hashtags and emoji, preventing them from showing up in their feed, the company explained in the post.

Back in March, the photo and video sharing service introduced the ability for users to view posts from accounts they follow in a chronological order, with two new feeds — Following and Favourites. With Following, users will see 30 days of posts in chronological order without suggested posts, while Favourites will let them choose to see posts from up to 50 accounts they follow.

Users can also ‘snooze’ suggested posts for a month at a time, by tapping the X on the top right corner and selecting Snooze all suggested posts in feed for 30 days. Users can also adjust their Sensitive Content Control settings on Instagram to customise the types of content they see on the service.


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Researchers in Spain Develop Algorithm That Can Identify Unhappy Users and Their Mental Health on Social Media

Our updates on social media gives world an insight into our personality in general and our needs and perspectives on those issues in particular. But what if there’s also a way to judge how we were feeling exactly at the time we shared an image, a video or any other post. To be able to understand this, researchers at the Open University of Catalonia in Spain have developed an algorithm that they claim can identify people who are unhappy by screening the posts they share on social media. The researchers believe this tool could be useful in diagnosing possible communication problems and mental health.

The team worked on this deep learning model for two years. The researchers relied on American psychiatrist William Glasser’s Choice Theory, which describes five basic needs central to all human behaviour — survival, power, freedom, belonging and fun. They say these needs have an influence on the images we choose to upload on social media platforms such as Facebook, Twitter or Instagram. The study also revealed that Spanish-speaking users were more likely to mention relationship problems on social media when they feel depressed than English-speaking users.

“How we present ourselves on social media can provide useful information about behaviours, personalities, perspectives, motives and needs,” Mohammad Mahdi Dehshibi, who led this study, said in a statement.

Dehshibi and his team of researchers analysed 86 Instagram profiles, in both Spanish and Persian, for the study published in the journal IEEE Transactions on Affective Computing. They believe that their research can help improve preventive measures, ranging from identification to improved treatment when a person has been diagnosed with a mental health disorder.

But how does the algorithm work? Dehshibi explains this by citing an example of a cyclist riding up a mountain. Once at the top, whether the person chooses to share a selfie or a group photo can help understand the person’s mental state. If the person chooses a selfie, it’s perceived as a need for power. If they choose the other option, it is concluded that the person is looking for more than just fun, but also a way to satisfy their need for belonging.

 


 

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