“Likely Voters” stumped pollsters. Is PPM Nielsen’s OOH solution? (RBDR 11.10.2014)

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Today on RBDR: 1) How U.S. pollsters may have so miscalculated the spread between winning and losing candidates last week. 2) Another 2014 election story is about the overabundance of digital data that candidates had in their election efforts–and how it went unused. 3) Nielsen may finally have a handle on OOH (out-of-home) viewing, using the Arbitron PPM system it acquired earlier this year.

Social media predictor Blab; “Don’t Know’s” mute poll responses (RBDR–7/08/14)

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Today: 1) A new online service, Blab, says it predicts with 70% accuracy what subject matter will be hot in social media 72 hours in advance. 2) Inclusion of “Don’t Know” as a option in a poll is a too-inviting choice for many respondents, especially women.

Harvey wins Ephron award; Angus Reid “retires;” Google removing opt-outs (RBDR–6/12/2014)

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Today: 1) ARF’s first Erwin Ephron Demystification Award goes to Erwin Ephron. 2) Canadian polling legend Angus Reid leaves Vision Critical to head his own public policy issue institute. 3) TVB hires Hadassa Gerber. 4) Google is learning how to cope with Europeans who want to opt-out their personal characteristics and behavior from Google search data.

Twitter tweets its IPO; Rentrak primed for takeover? GOP pollsters mull how to improve their work (RBDR–9/16/13)

Today: 1) Twitter tweeted about its filing with the SEC for an IPO. 2) Bloomberg News foresees a Rentrak sale to one of several larger media research companies. 3) GOP pollsters are reviewing their 2012 polling methods with an eye on making changes.

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Joel Benenson disagrees but knows why 3/4 of U.S. “thinks” polls are biased; Many tweeters unknowingly reveal their physical location (RBDR–9/12/13)

Today: 1) Benenson Strategy Group President Joel Benenson (Obama’s pollster and advisor in his two presidential campaigns) responds to some of the results from Kantar’s survey that shows Americans think polling is biased.  2) A USC graduate student, Chris Weidemann, studied Twitter and he concluded that 20% of tweets inadvertently release the user’s physical location. He also developed an app that can detect tweeters’ locations.

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