Facebook's Rating System Aims to Combat the Misleading News Being Shared
Riley von Niessen — December 7, 2016 — Tech
Given that many have become almost fully reliant on Facebook for their daily updates, the circulation of misleading news on the social platform has become incredibly problematic.
As Engadget reports, Mark Zuckerberg explained that Facebook would be improving its algorithm to filter misleading news stories, so that its millions of users wouldn't be as influenced by false information. So far, Facebook has implemented surveys to ask users if they think that a story's headline uses unclear language.
To the question, users can five answer with one of five options, with "Not at all," "Slightly," "Somewhat," "Very much" and "Completely" being the choices. Using the information gathered from surveys, Facebook will be able to come up an algorithm that will prevent blatantly false stories from circulating on it.
As Engadget reports, Mark Zuckerberg explained that Facebook would be improving its algorithm to filter misleading news stories, so that its millions of users wouldn't be as influenced by false information. So far, Facebook has implemented surveys to ask users if they think that a story's headline uses unclear language.
To the question, users can five answer with one of five options, with "Not at all," "Slightly," "Somewhat," "Very much" and "Completely" being the choices. Using the information gathered from surveys, Facebook will be able to come up an algorithm that will prevent blatantly false stories from circulating on it.
Trend Themes
1. Algorithmic Filtering - Facebook's improved algorithm for filtering misleading news stories presents opportunities for disruptive innovation in the field of content curation and information verification.
2. User Feedback Surveys - The implementation of user feedback surveys as a means to combat misleading news on social media platforms creates opportunities for disruptive innovation in the realm of user engagement and opinion gathering.
3. Transparency in News Sharing - Facebook's efforts to combat misleading news through clearer language in headline ratings opens up possibilities for disruptive innovation in the area of transparent and trustworthy news sharing.
Industry Implications
1. Content Curation - The advancements in algorithmic filtering present disruptive innovation opportunities for companies in the content curation industry to provide more accurate and trustworthy information to users.
2. Social Media Platforms - The emergence of user feedback surveys and improved algorithms in combating misleading news on social media platforms offers opportunities for disruptive innovation in the social media industry to enhance user experience and trust.
3. News Media - The push for transparency in news sharing and combatting misleading stories on social platforms creates disruptive innovation opportunities for the news media industry to regain credibility and rebuild trust with audiences.
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