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		<title>LinkedIn implements automatic spam detection tools</title>
		<link>https://bitfinance.news/en/linkedin-implements-automatic-spam-detection-tools/</link>
		
		<dc:creator><![CDATA[Marilin Pino]]></dc:creator>
		<pubDate>Mon, 05 Dec 2022 17:00:33 +0000</pubDate>
				<category><![CDATA[Business]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[automatic spam detection]]></category>
		<category><![CDATA[business world]]></category>
		<category><![CDATA[learning algorithm]]></category>
		<category><![CDATA[linkedin]]></category>
		<category><![CDATA[new tool]]></category>
		<category><![CDATA[spam]]></category>
		<guid isPermaLink="false">https://bitfinance.news/?p=89161</guid>

					<description><![CDATA[<div style="margin-bottom:20px;"><img width="1200" height="800" src="https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn.jpg" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="LinkedIn implementa herramientas de detección automática spam" decoding="async" fetchpriority="high" srcset="https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn.jpg 1200w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-300x200.jpg 300w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-1024x683.jpg 1024w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-768x512.jpg 768w" sizes="(max-width: 1200px) 100vw, 1200px" /></div><p>LinkedIn has introduced new tools for automatic detection of unwanted messages or &#8216;spam&#8217;, along with two tabs that classify them according to the learning algorithm that has indicated whether they are legitimate messages or not. The &#8216;Focused&#8217; button will be introduced in the inbox of the Messages section of the platform, for relevant messages of [&#8230;]</p>
<p>La entrada <a rel="nofollow" href="https://bitfinance.news/en/linkedin-implements-automatic-spam-detection-tools/">LinkedIn implements automatic spam detection tools</a> apareció primero en <a rel="nofollow" href="https://bitfinance.news">Bitfinance</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div style="margin-bottom:20px;"><img width="1200" height="800" src="https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn.jpg" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="LinkedIn implementa herramientas de detección automática spam" decoding="async" srcset="https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn.jpg 1200w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-300x200.jpg 300w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-1024x683.jpg 1024w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-768x512.jpg 768w" sizes="(max-width: 1200px) 100vw, 1200px" /></div><p style="text-align: justify;"><strong>LinkedIn</strong> has introduced <strong>new tools for automatic detection of unwanted messages or &#8216;spam&#8217;,</strong> along with two tabs that classify them according to the learning algorithm that has indicated whether they are legitimate messages or not.</p>
<p style="text-align: justify;">The <strong>&#8216;Focused&#8217; button will be introduced in the inbox</strong> of the Messages section of the platform, for relevant messages of interest to users, while<strong> the rest will be saved in &#8216;Others&#8217;.</strong></p>
<p style="text-align: justify;">The company has not detailed when it will implement this feature, but it has clarified that<strong> it will be optional,</strong> so that it can be activated or deactivated according to the needs of the users.</p>
<p>&nbsp;</p>
<p style="text-align: justify;">In order to carry out this task, <strong>LinkedIn will use an automatic learning system</strong> that will classify these messages and automatically detect those that are &#8216;spam&#8217; or unwanted, according to media such as <strong>TechCrunch.</strong></p>
<p><img decoding="async" class=" wp-image-89159 alignright" src="https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-1-300x154.jpg" alt="" width="341" height="175" srcset="https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-1-300x154.jpg 300w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-1-1024x527.jpg 1024w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-1-768x395.jpg 768w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-1-1130x580.jpg 1130w, https://bitfinance.news/wp-content/uploads/2022/12/LinkedIn-1.jpg 1280w" sizes="(max-width: 341px) 100vw, 341px" /></p>
<p style="text-align: justify;">The platform has commented that every second, a total of 21 direct messages (inMails) are sent with d<strong>ifferent job opportunities or vacancies.</strong> These may be mixed with other messages and, therefore, the inbox may overwhelm. For this reason, he believes that <strong>this new tool seeks to improve the experience on the platform,</strong> both for workers and recruiters.</p>
<p style="text-align: justify;">This &#8216;online&#8217; job search service has also confirmed that messages considered <strong>&#8216;spam&#8217;</strong> will include a button to inform the platform of an<strong> inappropriate message.</strong></p>
<p style="text-align: justify;">As TechCrunch has verified, this functionality <strong>is being tested in small groups,</strong> although the company has indicated that it will be <strong>rolling out this functionality globally soon.</strong></p>
<p style="text-align: justify;">Source: dpa</p>
<p>La entrada <a rel="nofollow" href="https://bitfinance.news/en/linkedin-implements-automatic-spam-detection-tools/">LinkedIn implements automatic spam detection tools</a> apareció primero en <a rel="nofollow" href="https://bitfinance.news">Bitfinance</a>.</p>
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