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            <idno type="halRefHtml">&lt;i&gt;19th Conference on e-Business, e-Services and e-Society (I3E)&lt;/i&gt;, Apr 2020, Skukuza, South Africa. pp.159-171, &lt;a target="_blank" href="https://dx.doi.org/10.1007/978-3-030-45002-1_14"&gt;&amp;#x27E8;10.1007/978-3-030-45002-1_14&amp;#x27E9;&lt;/a&gt;</idno>
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                <editor>Matti Mäntymäki</editor>
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                <term xml:lang="en">Privacy</term>
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              <p>Publicly-available mobile data can be used to derive fine grain commuting and travel patterns. These types of data include geocoded or geotagged discrete units of communication: messages, posts, tweets, status updates, check-ins, images and the like on a variety of social networking services. Clearly, there are ethical issues concerning the use of such data, particularly the invasion of privacy. A review of the literature has been done to explore these issues.</p>
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