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      <title>10th Continuous Assessment / Facebook by </title>
      <link>https://padlet.com/s17000602_2/7gmeyii617mnq9de</link>
      <description>Thitipat Eiamsumang S17000602</description>
      <language>en-us</language>
      <pubDate>2021-04-23 19:36:57 UTC</pubDate>
      <lastBuildDate>2021-04-23 20:54:11 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>What are the reasons outlined in the case that help explain the spread of misinformation?</title>
         <author>s17000602_2</author>
         <link>https://padlet.com/s17000602_2/7gmeyii617mnq9de/wish/1453405860</link>
         <description><![CDATA[<div>Facebook’s major issue is its business model. It has multibillion-dollar corporation because its revenue comes from gathering and using the data shared by all of Facebook's users. Facebook retrieves information from what we like, comment on and share; the posts we hide and delete; the videos we watch; the ads we click on; the quizzes we take. The spread of misinformation has been increased recently this is because those misinformation data that got spread on Facebook has its own purpose to misleading the Facebook's users into the incorrect direction which could benefit the person or an organisation that spread these misinformation news in the first place. The spread of misinformation usually use widely to direct the users into the conflict in country’s religious conflict and increase the political tensions. </div>]]></description>
         <enclosure url="" />
         <pubDate>2021-04-23 19:38:40 UTC</pubDate>
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         <title>What are the solutions Facebook has come up with to combat misinformation? </title>
         <author>s17000602_2</author>
         <link>https://padlet.com/s17000602_2/7gmeyii617mnq9de/wish/1453406509</link>
         <description><![CDATA[<div>New developed machine learning solution - the company created a new system to track their impact and maximise user engagement. The process is still the same today. Teams train up a new machine learning model on FBLearner, whether to change the ranking order of posts or to better catch content that<br>violates Facebook’s community standards. This project is in a hope to use algorithms to fight algorithms. From an algorithmic perspective it's possible for Facebook to recognise that website was only created two weeks ago, therefore it's probably likely that this is a less trustworthy site and might be a source that spread the fake news.&nbsp;<br><br>Content moderator model - Misinformation and hate speech constantly evolve. New falsehoods spring up; new people and groups become targets. To catch things before they go viral, content-moderation models must be able to identify new unwanted content with high accuracy. However, at this current stage Facebook still developing this model as it need more than a million learning test for the model to recognise and filter the true misinformation data. </div>]]></description>
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         <pubDate>2021-04-23 19:38:51 UTC</pubDate>
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         <title>What types of actions would you recommend?</title>
         <author>s17000602_2</author>
         <link>https://padlet.com/s17000602_2/7gmeyii617mnq9de/wish/1453407565</link>
         <description><![CDATA[<div>1) Add time delay on re-share option - Articles on Facebook could be subject to a time-delay once they reach a certain threshold of shares. I think it will help delay the spread of misinformation. However, this could also effect the real news as much as fake news. So Facebook could apply this option on the specific time when the global event that lead to the spread of fake news occur. <br><br>2) Punish account to spread misinformation<br>If publishing fake news was punishable with bans on Facebook then it would disincentives organisations from doing so. Facebook should attacks the problem at its root and could get rid of the worst offenders. The IP address permanent banned would help slow the spread of misinformation as it will take more time to bypass the system. <br><br>3) Verify page for the news organisation<strong><br></strong><br></div><div>Just like instagram and twitter verify account system, verification would mean that a news organisation would have to apply to be verified and be proved to be a credible news source and trustworthy page so that stories would be published with a “verified” flag that appear to us users. Verification could also mean higher priority in newsfeed algorithms, but if those page starting to post fake news it would mean that they will lose the verified status. However, It would require extra staff for Facebook to assess applications and maintain the system.&nbsp;<br><br></div><div><br><br></div><div><br><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2021-04-23 19:39:08 UTC</pubDate>
         <guid>https://padlet.com/s17000602_2/7gmeyii617mnq9de/wish/1453407565</guid>
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