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Data fo r Greece on outstanding liabilities related to offbalance publicprivate partnerships has been changed to 001 We apologise for any inconvenience this error may have caused A new data collection for government finance statistics First time rel. News Values 1 Abstract The thesis of this paper, simply put, is that new media spaces and traditional journalism share far more qualities than are usually appreciated. Since the 1950s, both scholar Errors in measurements. Errors which can be eliminated. Errors which can’t be eliminated. 1. Calamitous or catastrophic error. 2. Alignment error. 3. Errors due to ambient conditions . 4. Errors due to elastic deformation. L2 . Caches with PARMA. Jinho Suh. Mehrtash Manoochehri. Murali. . Annavaram. Michel Dubois. Outline. Introduction. Soft . Errors . Evaluating Soft . Errors. PARMA: Precise Analytical Reliability Model for Architecture. Research shows . that . New Zealand ranked ninth (. last!. ) in workplace health and safety performance for the 2005-2008 period out of nine OECD countries, with:. 102 fatalities per . annum . . How to do research in this new era. By: Tanya Phillips, RBSS. Remember this…... http://time.com/4485710/sugar-industry-heart-disease-research/. Harvard’s School of Public health, skewed research to minimize the effect of sugar on heart disease and point the finger toward cholesterol and fat.. Suman Jana. 1. , . Yuan Kang. 1. , Samuel Roth. 2. , Baishakhi Ray. 3. 1. Columbia University. 2. Ohio Northern University. 3. University of Virginia. Incorrect error handling. : a major source. . of. Legislative session . S.B. 159 . Helmet . Requirement . AMendments. Rep. . Brian . Shiozawa. , an emergency room doctor, says he’s too many motorcycle crash victims who might have lived had they worn a helmet. . Suman Jana. 1. , . Yuan Kang. 1. , Samuel Roth. 2. , Baishakhi Ray. 3. 1. Columbia University. 2. Ohio Northern University. 3. University of Virginia. Incorrect error handling. : a major source. . of. "It's a fantastic way to increase [customer] affinity . if you get it right. And it's a fantastic way to lose customers if you get it wrong.". October 2017 in . Entertainment Weekly. From the 2013 Super Bowl, when a black out plunged the stadium into darkness.. Divide into groups of 3-4. Share your stories—tell what each story is about in 1 sentence. As a group, decide . why. each story is “news”. Make a list of all your reasons (“characteristics”). Bias . using . Simple Textual . Analysis. Yuval Pinter . Shuki. Tausig Oren . Persico. Motivation / Hypotheses. Media is biased. Israeli media is super-biased. Machine Learning detects bias. Headlines could be enough. Adam Dobrodt, Donna Pistolis and Martha Vickery. History of Fake News. Benjamin Franklin. John Adams. Yellow Journalism. Hoaxes. Social Media and Fake News. Never in human history has more information been available to more people. But it’s also true that never in history has more . If news isn’t true, does that make it fake? . Where does it come from & why people share it?. Spotting the difference between real and false.. What is ‘Fake’ News?. BBC definition: . False . Survey of 1,000 Protestant Pastors. Methodology . The telephone survey of Protestant pastors was conducted October 7-14, 2010. The calling list was randomly drawn from a list of all Protestant churches. Up to six calls were made to reach a sampled phone number.