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Colin Lokey
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Poli Sci undergrad. MBA. Repo (market) man. Geopolitics junkie.
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  • Underrated Seeking Alpha Contributor StockTalk And The Power Of Crowdsourcing 1 comment
    Mar 26, 2014 10:33 AM

    Chris DeMuth has started a fantastic StockTalk to identify underrated Seeking Alpha contributors and registered users by looking at the "ratio of quality ideas to followers."

    This is a fantastic example of how Seeking Alpha community interaction works to facilitate contributor success.

    Perhaps more importantly, the impact this StockTalk has had since it was posted on Sunday reinforces the idea that crowdsourcing is an extraordinarily effective way to surface quality ideas and content. As many of you know, the power of Seeking Alpha's model was highlighted by an academic study that was recently discussed in both the Wall Street Journal (here) and on Bloomberg TV (here).

    Allow me to elaborate. On Sunday, Chris highlighted one contributor (Investing Sidekick) and one registered user (Fit Investment Ideas). At the time, Investing Sidekick and Fit Investment Ideas had 27 and 6 followers respectively - as of today, they have 188 and 152. Clearly, this serves to elevate these individual users' brands. More than that though, it means that hundreds of Seeking Alpha users now have two new sources for great investment ideas, thanks largely to the crowdsourced model's inherent and unparalleled ability to surface quality content.

    Everyone is encouraged to join the discussion here: Underrated Seeking Alpha Contributor/User StockTalk

    Note that our CEO David Jackson has commented on the thread.

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  • airlarr
    , contributor
    Comments (319) | Send Message
     
    Colin, maybe SA could develop some kind of data base of company articles, when made, compared to an index.
    For example, stock XXX is published on April 1 at $ 20. The author enters that symbol and date into an SA data base. The author also picks a index for comparison, e.g., QQQ, SPY, etc.
    Over time your SA database would always have good data on the results of authors' articles vs indexes.
    This would provide hard data on best authors, beyond their ability to write. What do you think?
    Larry Henry
    26 Mar 2014, 11:08 AM Reply Like
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