<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>jaredmck</author><text>Unless they&apos;re sandbagging the spam filtering right now, there&apos;s no way twitter is close to tapping into the potentially huge value of their data. I&apos;d love to see them turn the data into huge value and insight, but they&apos;ll need to show a lot more before this outcome is likely.</text><parent_chain><item><author>nhebb</author><text>&quot;&lt;i&gt;applies these same high-powered analytics to relate [...] events broadcast on TV to conversations taking place in social media&lt;/i&gt;&quot;&lt;p&gt;So, if you use Twitter, you&apos;re someone&apos;s lab rat. I know that when I tweet, it&apos;s open for all the world to see, but I can&apos;t shake the feeling that this is really creepy.&lt;p&gt;Beyond that, I&apos;m trying to envision how this data could be used. I imagine three scenarios:&lt;p&gt;1. Leverage it to sell more TV advertising. If a show is getting buzz on twitter, maybe this could be a viable alternative to Nielsen ratings. (Which leads to the question of whether Blue Fin can discern positive buzz from negative buzz).&lt;p&gt;2. If step 1 is analysis, could step 2 be manipulation? Can buzz be jump started or boosted at key inflection points by sock puppet marketing?&lt;p&gt;3. C-level eye candy - interesting visualizations that TV exec&apos;s buy for their egos, but ultimately can&apos;t do anything actionable with the information.</text></item></parent_chain></comment><story><title>MIT scientist captures 90,000 hours of video of his son&apos;s first words, graphs it</title><url>http://www.fastcompany.com/1733627/mit-scientist-captures-his-sons-first-90000-hours-on-video</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>joejohnson</author><text>I feel like either the data Twitter has isn&apos;t actually that valuable, or Twitter is just sitting on a goldmine and they are refusing to show their hand too soon.  I say this because they&apos;re still not profitable, but I predict that if they do become a large financial success, it won&apos;t be through existing ad-revenue models (or maybe even ads).  Twitter could monetize in countless ways with their powerful information base.</text><parent_chain><item><author>nhebb</author><text>&quot;&lt;i&gt;applies these same high-powered analytics to relate [...] events broadcast on TV to conversations taking place in social media&lt;/i&gt;&quot;&lt;p&gt;So, if you use Twitter, you&apos;re someone&apos;s lab rat. I know that when I tweet, it&apos;s open for all the world to see, but I can&apos;t shake the feeling that this is really creepy.&lt;p&gt;Beyond that, I&apos;m trying to envision how this data could be used. I imagine three scenarios:&lt;p&gt;1. Leverage it to sell more TV advertising. If a show is getting buzz on twitter, maybe this could be a viable alternative to Nielsen ratings. (Which leads to the question of whether Blue Fin can discern positive buzz from negative buzz).&lt;p&gt;2. If step 1 is analysis, could step 2 be manipulation? Can buzz be jump started or boosted at key inflection points by sock puppet marketing?&lt;p&gt;3. C-level eye candy - interesting visualizations that TV exec&apos;s buy for their egos, but ultimately can&apos;t do anything actionable with the information.</text></item></parent_chain></comment><story><title>MIT scientist captures 90,000 hours of video of his son&apos;s first words, graphs it</title><url>http://www.fastcompany.com/1733627/mit-scientist-captures-his-sons-first-90000-hours-on-video</url></story>