<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
     xmlns:content="http://purl.org/rss/1.0/modules/content/"
     xmlns:dc="https://purl.org/dc/elements/1.1/"
     xmlns:dcterms="http://purl.org/dc/terms/"
     xmlns:media="http://search.yahoo.com/mrss/"
     xmlns:atom="http://www.w3.org/2005/Atom"
>
    <channel>
                    <atom:link href="https://www.nexttv.com/feeds/tag/stuart-schwartzapfel" rel="self" type="application/rss+xml" />
                            <title><![CDATA[ Latest from Next TV in Stuart-schwartzapfel ]]></title>
                <link>https://www.nexttv.com/tag/stuart-schwartzapfel</link>
        <description><![CDATA[ All the latest stuart-schwartzapfel content from the Next TV team ]]></description>
                                    <lastBuildDate>Wed, 31 May 2017 13:10:00 +0000</lastBuildDate>
                            <language>en</language>
                                <item>
                                                            <title><![CDATA[ Canvs Adds Instagram to Analysis of Emotional Responses to TV Shows ]]></title>
                                                                                                                                                                                                <link>https://www.nexttv.com/news/canvs-adds-instagram-analysis-emotional-responses-tv-shows-413154</link>
                                                                            <description>
                            <![CDATA[ Canvs Adds Instagram to Analysis of Emotional Responses to TV Shows ]]>
                                                                                                            </description>
                                                                                                                                <guid isPermaLink="false">9uyesNTipivpYM4svxWYRd</guid>
                                                                                                <enclosure url="https://cdn.mos.cms.futurecdn.net/eFwkt2szhEkXQh3McFJwqS-1280-80.jpg" type="image/jpeg" length="0"></enclosure>
                                                                        <pubDate>Wed, 31 May 2017 13:10:00 +0000</pubDate>                                                                                                                                                                                                                                <category><![CDATA[Content]]></category>
                                                    <category><![CDATA[Audience Measurement]]></category>
                                                    <category><![CDATA[Advertising]]></category>
                                                    <category><![CDATA[Marketing]]></category>
                                                                                                <author><![CDATA[ jon.lafayette@futurenet.com (Jon Lafayette) ]]></author>                    <dc:creator><![CDATA[ Jon Lafayette ]]></dc:creator>                                                                                    <dc:source><![CDATA[ http://cdn.mos.cms.futurecdn.net/JGsRM7YbKg526Qh475nwCf.jpg ]]></dc:source>
                                                                <dc:description><![CDATA[ null ]]></dc:description>
                                                                                                                                                                                                                                                <media:content type="image/jpeg" url="https://cdn.mos.cms.futurecdn.net/eFwkt2szhEkXQh3McFJwqS-1280-80.jpg">
                                                            <media:credit><![CDATA[null]]></media:credit>
                                                                                                                                                                                                                                                                                                                                                    </media:content>
                                                    <media:thumbnail url="https://cdn.mos.cms.futurecdn.net/eFwkt2szhEkXQh3McFJwqS-1280-80.jpg" />
                                                                                                                                                                    <content:encoded >
                            <![CDATA[
                            <article>
                                <figure class="van-image-figure pull-" data-bordeaux-image-check ><div class='image-full-width-wrapper'><div class='image-widthsetter' ><p class="vanilla-image-block" style="padding-top:56.25%;"><img id="eFwkt2szhEkXQh3McFJwqS" name="" alt="" src="https://cdn.mos.cms.futurecdn.net/eFwkt2szhEkXQh3McFJwqS.jpg" mos="https://cdn.mos.cms.futurecdn.net/eFwkt2szhEkXQh3McFJwqS.jpg" align="" fullscreen="" width="" height="" attribution="" endorsement="" class="pull-"></p></div></div></figure><p>Research company Canvs is adding Instagram to the social media it studies to gauge emotional responses among viewers for its TV programming and advertising clients.<br/><br/>Canvs also said it has figured out how to read and analyze emojis, giving it extra insights into what young Generation Z consumers are feeling. Harnessing that information about emotional responses has proved powerful in predicting program ratings and commercial recall.<br/><br/>Adding the fast growing social-media platform to the company’s current data from Twitter and Facebook provides clients with a more balanced look at social media activity, Stuart Schwartzapfel, Canvs chief strategy officer, said.<br/><br/>Much of Instagram’s content is visual, making it more difficult to quantify and analyze posts than on Facebook or Twitter.<br/><br/>“It is heavily visual, but there is a scalable amount of commentary, either in the form of rich text or emoji usage that we’re seeing as pretty scalable on Instagram,” Schwartzapfel says.<br/><br/>Canvs found that about half of the messages on brand pages — including those of TV networks — include emojis, making understanding them imperative.<br/><br/>Canvs’s data science team did a study across Instagram and social media at large to understand which emojis are most prevalent, and it identified 1,000 emojis that are most commonly used.<br/><br/>Read more at <a href="http://www.broadcastingcable.com/canvs-analyzing-instagram-emotional-responses-tv-shows/166182">broadcastingcable.com</a>.</p>
                                                            </article>
                            ]]>
                        </content:encoded>
                                                </item>
            </channel>
</rss>