networks and advertising on social networks in the dissemination of false news stories about childhood vaccines. We document … also find that after Facebook's ban on advertising by fake new sites, the sharing of fake news articles on Facebook fell by … 75% on Facebook compared to Twitter …

better understand the effects of the policy, we analyze direct-to-consumer advertising (DTCA) and search engine click …-through data on a set of drugs over a three-year period. Regression analysis shows that advertising on a prescription drug serves …

We use a unique dataset that combines information on advertising by subprime lenders and mortgages originated by them … from 2002 to 2007 to study the relationship between advertising and the nature of mortgages obtained by consumers. We … relationship between the intensity of local advertising and the expensiveness of mortgages extended by lenders within a given …

This paper is the first to estimate the impact of exposure to deceptive advertising on consumption of the advertised … advertising is rampant and products are generally ineffective with potentially serious side effects. We control for the targeting … exposure to deceptive advertising is associated with a lower probability that women, and a higher probability that men, consume …

We examine the effects of fast-food restaurant advertising on television on the body composition of adolescents as … from the National Longitudinal Survey of Youth 1997 and data on local fast-food restaurant advertising on television from … Competitive Media Reporting. Exposure to fast-food restaurant advertising on television causes statistically significant increases …

with dominant parties, political advertising may thus disproportionately benefit non-dominant parties electorally. We test … advertising, we exploit differences across neighboring precincts in campaign ad distributions arising from cross-state media … model, campaign advertising is most effective in poorly informed and politically uncompetitive electoral precincts, and …

, we use a deep learning algorithm to measure sentiment within Twitter messages on an hourly basis and introduce a new … measures from Twitter greatly improves forecast accuracy, and (ii) there are substantial gains from our proposed MIDAS …