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      <title>UNBIAS Game by The University of Edinburgh</title>
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      <pubDate>2020-04-21 12:37:47 UTC</pubDate>
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         <title>Demo task output</title>
         <author>moocdeliveryteam</author>
         <link>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/520101095</link>
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         <pubDate>2020-04-21 12:38:39 UTC</pubDate>
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         <title>UNBIAS Game</title>
         <author></author>
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         <pubDate>2020-05-18 20:45:49 UTC</pubDate>
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         <title>Fake news, personal info, hedonism and human rights</title>
         <author></author>
         <link>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/598029861</link>
         <description><![CDATA[<div>Facebook's example of fake news proposed in the ubias game could potentialy harm users sexual orientation, ethnic identity and even family background, notably violating the value of personal development and directly disrespecting the right to education.<br><br>A possible solution would be to ask consumers what kind of news they would like to read, and also overviewing the news contents.</div>]]></description>
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         <pubDate>2020-05-27 23:10:28 UTC</pubDate>
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         <title></title>
         <author></author>
         <link>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/614301120</link>
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         <pubDate>2020-06-06 14:59:52 UTC</pubDate>
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         <title>I selected these cards using random.org dice roller:</title>
         <author></author>
         <link>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/617010540</link>
         <description><![CDATA[<div>So: Using Facebook data to assign insurance premiums to car owners (blocked by Facebook for violating the terms of its platform). Inherently problematic, since a whole range of precedents could be set based on uncertain algorithmic rules, which would themselves be based on 'who knows what' unstructured content, with many opportunities for rules to be applied to 'data' taken entirely out of context. Using the cards drawn, inferences could be made about people's location, employment status, group affiliation and so on... (and just maybe some reference to car ownership or driving style???). The solution to this 'problem' is simple: don't do it. Just don't do it. Although, the current technologies we can now utilise do make an overhaul of the entire insurance industry feasible. "Insurance for social good rather than profit" perhaps.</div>]]></description>
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         <pubDate>2020-06-08 14:39:09 UTC</pubDate>
         <guid>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/617010540</guid>
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         <title>UNBIAS Demo</title>
         <author></author>
         <link>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/625385728</link>
         <description><![CDATA[<div>Well, data on location and IP address can lead to cyber bullying hate speech through stereotyping and this can infringe on a persons right to privacy and peace. A solution I would suggest to deal with the perpetrators of this hideous acts is that social media platforms should be able to flag and delete accounts immediately in case a post is deemed it has crossed the bounds of right to privacy  or right to peaceful existence or even right to freedom of speech.<br><br></div>]]></description>
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         <pubDate>2020-06-13 23:16:15 UTC</pubDate>
         <guid>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/625385728</guid>
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         <title>Fake news, Health records, sense of belongings, Human rights</title>
         <author></author>
         <link>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/626988284</link>
         <description><![CDATA[<div>The problem in this case is that Facebook is processing sensitive data, the health records of its users, and that these data are used for fake news on its social media. Within a health records, one can basically know the person as it generally includes phone numbers, names, address and of course your health and your medical activity. With these information it is possible for the automated feature create a sense of affiliation and belongings between persons that happens to have the same disease, the same type of health or even those that basically never had anything but that have to pay social services for those who do have health issues. Now these impedes on numerous right and the first is the right to private life as the automated processing of sensitive data is prohibited. The right to freedom of religion and belief as some induces that one are not allowed to do transmission blood or more simply give it.</div><div> </div><div>A possible solution to the problem of fake news transmitted and elaborated on health records would be to anonymised them. In fact, it can be said that the fact that in health records, the personal information of the person is in it can create great discrepancies between categories of people. The fact that personal information besides health records would be deleted might lead to more statistical news which I believe can be considered as usually more ‘true’ if automately done.<br><br></div>]]></description>
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         <pubDate>2020-06-15 08:54:26 UTC</pubDate>
         <guid>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/626988284</guid>
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         <title>Personalisation</title>
         <author></author>
         <link>https://padlet.com/moocdeliveryteam/zzh5ez0s7k9i4n25/wish/645760019</link>
         <description><![CDATA[<div>random selection gave me personalisation , altruism, personal information, data protection.   for most commerce platforms, they need quite a bit of personal data to be able to offer their view of 'personalisation' - but this is not really what you get. Almost all algorithms work by budnling you into like-minded groups (think Amazons 'Others who bought this also got this' ) - thats not personalisation, thats just 'group-think' - the anti-thesis of being personal. for personalisation, I want it to look at what I buy and base further tips/hints on things related to those categories or topics (hey you bought a book about vegan cooking, how about buying this tofu strainer or bean-growing kit). likewise, very little linked to altruism - amazon , as example, has a 'charity' pop-up with scarce details and little chance to choose how to spend the donation...its just a token, not a fully fledged platform. for data protection - can they delete all my personal data? (yes, I'm sure they can (well, they MUST!) delete my direct personal data that i entered but can then all of my inter-related purchases that drive their group-think algorithms be removed or do future platform users still get suggestions based on my behaviour/presence in the system years ago? </div>]]></description>
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         <pubDate>2020-07-02 07:45:50 UTC</pubDate>
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