Twitter is testing a feature that will allow users to snooze topics that they are disinterested in or do not want to view. In order to snooze, topics Twitter is using a machine learning system. With the new system being implemented, users are able to avoid a certain topic on their feed. Users could also elect to not see a certain topic temporarily, which could be beneficial for missed TV shows.
The new feature comes along with the broader effort to have users follow certain topics in order to create more engagement on the platform. Twitter is testing its new topics feature on Android devices. Twitter topics could be perfectly suited for users who would like to discuss sporting events from the platform. For example, users could elect to see Tweets from sporting events or any other live events to engage in a discussion.
Social Media Engagement Efforts
Twitter is Testing a Feature for Users to Follow or Snooze a Topic
Trend Themes
1. Topic Snoozing - The ability to snooze topics on social media platforms presents an opportunity for disruptive innovation in personalized content curation.
2. Machine Learning System - The use of machine learning systems to curate user feeds opens up possibilities for disruptive innovation in targeted advertising and personalized recommendations.
3. Engagement-focused Topics - The introduction of topic-based engagement on social media platforms offers an opportunity for disruptive innovation in fostering meaningful discussions and community building.
Industry Implications
1. Social Media - The trend of topic snoozing and engagement-focused topics on social media platforms presents disruptive innovation opportunities in user experience and content moderation.
2. Advertising - The use of machine learning systems for personalized content curation creates disruptive innovation opportunities in targeted advertising and audience segmentation.
3. Entertainment - The ability to temporarily avoid certain topics on social media platforms, such as missed TV shows, offers disruptive innovation opportunities in personalized entertainment recommendations and audience engagement.