Published Papers

Commentators regularly lament the proliferation of both negative and/or strategic ("horse race") coverage in political news content. The most frequent account for this trend focuses on news norms and/or the priorities of news journalists. Here, we build on recent work arguing for the importance of demand-side, rather than supply-side, explanations of news content. In short, news may be negative and/or strategy-focused because that is the kind of news that people are interested in. We use a lab study to capture participants' news-selection biases, alongside a survey capturing their stated news preferences. Politically interested participants are more likely to select negative stories. Interest is associated with a greater preference for strategic frames as well. And results suggest that behavioral results do not conform to attitudinal ones. That is, regardless of what participants say, they exhibit a preference for negative news content.

We investigated the differential diffusion of all of the verified true and false news stories distributed on Twitter from 2006 to 2017. The data comprise ~126,000 stories tweeted by ~3 million people more than 4.5 million times. We classified news as true or false using information from six independent fact-checking organizations that exhibited 95 to 98% agreement on the classifications. Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth in all categories of information, and the effects were more pronounced for false political news than for false news about terrorism, natural disasters, science, urban legends, or financial information. We found that false news was more novel than true news, which suggests that people were more likely to share novel information. Whereas false stories inspired fear, disgust, and surprise in replies, true stories inspired anticipation, sadness, joy, and trust. Contrary to conventional wisdom, robots accelerated the spread of true and false news at the same rate, implying that false news spreads more than the truth because humans, not robots, are more likely to spread it.

Traditional theories have focused on the intentions of lower-class individuals to climb on the social ladder, yet they have paid relatively little attention to the motivations of upper-class individuals to ascend even higher. Addressing this issue, Studies 1 and 2 provided cross-national evidence that higher social class is associated with a greater desire for wealth and status. Moreover, by manipulating perceived social class, Studies 3 and 5 experimentally confirmed that compared to people in the lower-class group, those in the upper-class group express a stronger desire for wealth and status. Furthermore, in line with self-categorization theory predictions, Studies 3-5 showed that upper-class individuals tend to see and use wealth and status as important attributes in defining and categorizing self, and this tendency explains the effect of social class on desire for wealth and status. Together, our findings demonstrate a "having more--wanting more" relationship, and its consequences are further discussed.

Marketers distinguish three types of media: paid (e.g., advertising), owned (e.g., company website), and earned (e.g., publicity). The effects of paid media on sales have been extensively covered in the marketing literature. The effects of earned media, however, have received limited attention. The authors examine how two types of earned media, traditional (e.g., publicity and press mentions) and social (e.g., blog and online community posts), affect sales and activity in each other. They analyze 14 months of daily sales and media activity data from a microlending marketplace website using a multivariate autoregressive time-series model. They find that (1) both traditional and social earned media affect sales; (2) the per-event sales impact of traditional earned media activity is larger than for social earned media; (3) because of the greater frequency of social earned media activity, after adjusting for event frequency, social earned media's sales elasticity is significantly greater than traditional earned media's; and (4) social earned media appears to play an important role in driving traditional earned media activity.

We study the transmission of financial news and opinions through social interactions among retail investors in the United States. We identify a series of plausibly exogenous shocks, which cause "treated investors" to trade abnormally. We then trace the "contagion" of abnormal trading activity from the treated investors to their neighbors and their neighbors' neighbors. Coupled with methodology drawn from epidemiology, our setting allows us to estimate the rate of communication and how it varies with the characteristics of the underlying investor population.

We show information spillovers limit the effectiveness of targeted debt relief programs. We study individuals who learn about the likelihood of debt relief from the recent experiences of workplace peers filing for bankruptcy protection. Peers granted bankruptcy can discharge debts, while peers facing dismissal lose all protections. Exploiting the random assignment of judges to bankruptcy cases, we determine that individuals with a "dismissed peer" are significantly less likely to file for bankruptcy or enter foreclosure. We highlight a novel channel relating social networks to household finances and identify additional costs of granting individual debt relief imposed on lenders.

Prior research shows that positive online reviews are less valued than negative reviews. The authors argue that this is due to differences in causal attributions for positive versus negative information such that positive reviews tend to be relatively more attributed to the reviewer (vs. product experience) than negative reviews. The presence of temporal contiguity cues, which indicate that review writing closely follows consumption, reduces the relative extent to which positive reviews are attributed to the reviewer and mitigates the negativity bias. An examination of 65,531 Yelp.com restaurant reviews shows that review value is negatively related to review valence but that this negative relationship is absent for reviews that contain temporal contiguity cues. A series of lab studies replicates these findings and suggests that temporal contiguity cues enhance the value of a positive review and increase the likelihood of choosing a product with a positive review by changing reader beliefs about the cause of the review.

A growing number of studies suggest that common ownership caused cooperation among firms to increase and competition to decrease. We take a closer look at four approaches used to identify these effects. We find that the effects that some studies have attributed to common ownership are caused by other factors, such as differential responses of firms (or industries) to the 2008 financial crisis. We propose a modification to one of the previously used empirical approaches that is less sensitive to these issues. Using this to re-evaluate the link between common ownership and firm outcomes, we find little robust evidence that common ownership affects firm behavior.

This paper provides first evidence of negative peer disclosure (NPD), an emerging corporate strategy to publicize adverse news of industry peers on social media. Consistent with NPDs being implicit positive self-disclosures, disclosing firms experience a two-day abnormal return of 1.6%-1.7% over the market and industry. Further exploring the benefits and costs of such disclosures, we find that NPD propensity increases with the degree of product market rivalry and technology proximity and disclosing firms outperform nondisclosing peers in the product markets in the year following NPDs. These results rationalize peer disclosure and extend the scope of the literature beyond self-disclosure.

Using novel data from a crowdsourcing platform for ranking stocks, we investigate how investors form expectations about stock returns over the next week. We find that investors extrapolate from stocks' recent past returns, with more weight on more recent returns, especially when recent returns are negative, salient, or from a dispersed cross-section. Such extrapolative beliefs are stronger among nonprofessionals and large stocks. Moreover, consensus rankings negatively predict returns over the next week, more so among stocks with low institutional ownership and a high degree of extrapolation. A trading strategy that sorts stocks on investor beliefs generates an economically significant profit.

We show how data from online social networking services can help researchers better understand the effects of social interactions on economic decision making. We combine anonymized data from Facebook, the largest online social network, with housing transaction data and explore both the structure and the effects of social networks. Individuals whose geographically distant friends experienced larger recent house price increases are more likely to transition from renting to owning. They also buy larger houses and pay more for a given house. Survey data show that these relationships are driven by the effects of social interactions on individuals' housing market expectations.

We use survey data to measure households' propensity to default on mortgages even if they can afford to pay them (strategic default) when the value of the mortgage exceeds the value of the house. The willingness to default increases in both the absolute and the relative size of the home-equity shortfall. Our evidence suggests that this willingness is affected by both pecuniary and non-pecuniary factors, such as views about fairness and morality. We also find that exposure to other people who strategically defaulted increases the propensity to default strategically because it conveys information about the probability of being sued.