David Rothschild's research while affiliated with Microsoft and other places

Publications (41)

Article
Full-text available
Anti-Chinese sentiment increased during the COVID-19 pandemic, presenting as a considerable spike in overt violence and hatred directed at Asian American individuals. However, it is less clear how subtle patterns of consumer discrimination, which are difficult to directly observe yet greatly impact Asian American livelihoods, changed through the pa...
Article
Full-text available
A potential voter must incur a number of costs in order to successfully cast an in-person ballot, including the costs associated with identifying and traveling to a polling place. In order to investigate how these costs affect voter turnout, we introduce two quasi-experimental designs that can be used to study how the political participation of reg...
Article
Partisan segregation within the news audience buffers many Americans from countervailing political views, posing a risk to democracy. Empirical studies of the online media ecosystem suggest that only a small minority of Americans, driven by a mix of demand and algorithms, are siloed according to their political ideology. However, such research omit...
Article
Full-text available
Throughout the COVID-19 crisis, as we confronted questions about social distancing, masking wearing, and vaccines, public safety experts warned that the consequences of a misinformed population would be particularly dire due to the serious nature of the threat and necessity of severe collective action to keep the population safe. Thus, the media an...
Preprint
Full-text available
Discrimination and violence directed towards Asian Americans in the United States increased dramatically following the onset of the COVID-19 pandemic. In this paper, we examine consumer discrimination against businesses associated with Asian Americans. Leveraging the pandemic as an exogenous shock to Americans' level of anti-Chinese sentiment, we u...
Article
Full-text available
Encouraging people to vaccinate is a challenging endeavor, but one which has tremendous public health benefits. Doing so requires overcoming barriers of awareness, availability, and (sometimes) vaccine hesitancy. Here we focus on nudging people to vaccinate through online advertising. We conducted a pre-registered online ads campaign encouraging pe...
Article
Surveys are a vital tool for understanding public opinion and knowledge, but they can also yield biased estimates of behavior. Here we explore a popular and important behavior that is frequently measured in public opinion surveys: news consumption. Previous studies have shown that television news consumption is consistently overreported in surveys...
Preprint
Full-text available
A potential voter must incur a number of costs in order to successfully cast an in-person ballot, including the costs associated with identifying and traveling to a polling place. In order to investigate how these costs affect voting behavior, we introduce two quasi-experimental designs that can be used to study how the political participation of r...
Article
Full-text available
“Fake news,” broadly defined as false or misleading information masquerading as legitimate news, is frequently asserted to be pervasive online with serious consequences for democracy. Using a unique multimode dataset that comprises a nationally representative sample of mobile, desktop, and television consumption, we refute this conventional wisdom...
Article
Beliefs about the incidence of voter fraud inform how people view the trade-off between electoral integrity and voter accessibility. To better inform such beliefs about the rate of double voting, we develop and apply a method to estimate how many people voted twice in the 2012 presidential election. We estimate that about one in 4,000 voters cast t...
Article
Full-text available
We examine individual-level trading data from several markets in the PredictIt exchange to determine what strategies correlate with financial success. PredictIt provides many markets with futures contracts linked to political issues, ranging from ongoing policy outcomes to political elections. High fees along with restrictions blocking automatic tr...
Article
Full-text available
In the aftermath of the 2016 election, many Democrats reported significant increases in stress, depression, and anxiety. Were these increases real, or the product of expressive reporting? Using a unique data set of searches by more than 1 million Bing users before and after the election, we examine the changes in mental-health-related searches amon...
Article
We develop a new conceptualization of political advertising effects by looking at the effect of the marginal advertising dollar during the heat of presidential campaigns. We argue that in contrast to other studies investigating effects of political ads, our approach is more apt to capture the natural environment in which political ads are encounter...
Article
Data from Twitter have been employed in prior research to study the impacts of events. Conventionally, researchers use keyword-based samples of tweets to create a panel of Twitter users who mention event-related keywords during and after an event. However, the keyword-based sampling is limited in its objectivity dimension of data and information qu...
Article
Survey respondents who associate themselves with the "winning team" in an election, substantially increase their expectations for their stock market, but only modestly increase their expected household economic well-being. The impact of the election outcome on the "losing team" is comparatively muted. Yet, the dramatic shifts in survey responses fr...
Conference Paper
Although consumer behavior in response to search engine marketing has been studied extensively, few efforts have been made to understand how consumers search and respond to ads post purchase. Advertising to existing customers the same way as to prospective customers inevitably leads to wasteful and inefficient marketing. Employing a unique dataset...
Article
It is well known among researchers and practitioners that election polls suffer from a variety of sampling and non-sampling errors, often collectively referred to as total survey error. Reported margins of error typically only capture sampling variability, and in particular, generally ignore non-sampling errors in defining the target population (e....
Article
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Addressing fake news requires a multidisciplinary effort
Article
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Conditional decision markets concurrently predict the future and decide on it. These markets price the impact of decisions, conditional on them being executed. After the markets close, a principal decides which decisions are executed based on the prices in the markets. As some decisions are not executed, the respective outcome cannot be observed, a...
Data
Percent of search and Twitter discussion about the presidential candidates conducted by males from August 1, 2012 through November 6, 2012 (Election Day), compiled daily. Note: Each line combines any text that has Obama, Romney, or both on any of the two mediums. (EPS)
Data
Percent of search and Twitter discussion about the presidential candidates conducted by geographical division from August 1, 2012 through November 6, 2012 (Election Day), compiled daily. Note: Each line combines any text that contains the terms Obama, Romney, or both on any of the two mediums. (EPS)
Article
Full-text available
There is a large body of research on utilizing online activity as a survey of political opinion to predict real world election outcomes. There is considerably less work, however, on using this data to understand topic-specific interest and opinion amongst the general population and specific demographic subgroups, as currently measured by relatively...
Data
Top terms co-occurring with “Romney” on search, from August 1, 2012 through November 6, 2012 (Election Day), compiled daily. Note: Term rows are arranged by time series clustering. (EPS)
Data
Top terms co-occurring with “Obama” on search, from August 1, 2012 through November 6, 2012 (Election Day), compiled daily. Note: Term rows are arranged by time series clustering. (EPS)
Data
Top terms co-occurring with “Romney” on Twitter, from August 1, 2012 through November 6, 2012 (Election Day), compiled daily. Note: Term rows are arranged by time series clustering. (EPS)
Article
We compare Oscar forecasts derived from four data types (fundamentals, polling, prediction markets, and domain experts) across three attributes (accuracy, timeliness and cost effectiveness). Fundamentals-based forecasts are relatively expensive to construct, an attribute the academic literature frequently ignores, and update slowly over time, const...
Article
This paper increases the efficiency and understanding of forecasts for Electoral College and senatorial elections by generating forecasts based on voter intention polling, fundamental data, and prediction markets, then combining these forecasts. The paper addresses the most relevant outcome variable, the probability of victory in state-by-state ele...
Article
Full-text available
Psychologists have long observed that people conform to majority opinion, a phenomenon sometimes referred to as the ‘bandwagon effect’. In the political domain people learn about prevailing public opinion via ubiquitous polls, which may produce a bandwagon effect. Newer types of information – published probabilities derived from prediction market c...
Article
This paper develops new fundamental models for forecasting presidential, senatorial, and gubernatorial elections at the state level using fundamental data. Despite the fact that our models can be used to make forecasts of elections earlier than existing models and they do not use data from polls on voting intentions, our models have lower out-of-sa...
Article
Election forecasts have traditionally been based on representative polls, in which randomly sampled individuals are asked who they intend to vote for. While representative polling has historically proven to be quite effective, it comes at considerable costs of time and money. Moreover, as response rates have declined over the past several decades,...
Article
The only acceptable form of polling in the multi-billion dollar survey research field utilizes representative samples. We argue that with proper statistical adjustment, non-representative polling can provide accurate predictions, and often in a much more timely and cost-effective fashion. We demonstrate this by applying multilevel regression and po...
Article
We study misaligned prices for logically related contracts in prediction markets. First, we uncover persistent arbitrage opportunities for risk-neutral investors between identical contracts on different exchanges. Examining the impact of several thousand dollars of transactions on the exchanges themselves in a randomized field trial, we document th...
Article
Full-text available
There is a large body of research on utilizing online activity to predict various real world outcomes, ranging from outbreaks of influenza to outcomes of elections. There is considerably less work, however, on using this data to understand topic-specific interest and opinion amongst the general population and specific demographic subgroups, as curr...
Article
Full-text available
How accurate are laypeople's intuitions about probability distributions of events? The economic and psychological literatures provide opposing answers. A classical economic view assumes that ordinary decision makers consult perfect expectations, while recent psychological research has emphasized biases in perceptions. In this work, we test laypeopl...
Conference Paper
We report on a large-scale case study of a combinatorial prediction market. We implemented a back-end pricing engine based on Dudik et al.'s (2012) combinatorial market maker, together with a wizard-like front end to guide users to constructing any of millions of predictions about the presidential, senatorial, and gubernatorial elections in the Uni...
Article
Markets are a strong instrument for aggregating dispersed information, yet there are flaws. Markets are too complex for some users, they fail to capture massive amounts of their users’ relevant information, and they suffer from some individual-level biases. Based on recent research in polling environments, we design a new market interface that capt...
Article
Full-text available
We examine transaction-level data from Intrade's 2012 presidential winner market for the entire two-year period for which trading occurred. The data allow us to compute key statistics, including volume, transactions, aggression, directional exposure, holding duration, margin, and profit for each of 6,300 unique trader accounts. We identify a divers...
Article
Most pollsters base their election projections off questions of voter intentions, which ask “If the election were held today, who would you vote for?” By contrast, we probe the value of questions probing voters’ expectations, which typically ask: “Regardless of who you plan to vote for, who do you think will win the upcoming election?” We demonstra...
Article
All three articles in my dissertation gather information from individuals, analyze it, and aggregate that information into forecasts of upcoming events. The motivation is to make forecasts more efficient (accurate and timely), more versatile (provide the most useful information for each stakeholder), and more economically efficient (equally or more...
Article
Using the 2008 elections, I explore the accuracy and informational content of forecasts derived from two different types of data: Polls and prediction markets. Both types of data suffer from inherent biases, and this is the first analysis to compare the accuracy of these forecasts adjusting for these biases. Moreover, the analysis expands on previo...

Citations

... But it is also true that some showed support towards Japanese Americans and there were solidarity efforts through public speeches and writings (Chan, 2019). Today, scholars and activists are encouraging Asian Americans to turn to solidarity among Asian ethnic groups and other minority groups in recognition that we are stronger together (Chou, 2020). ...
... For example, some have studied how changes to precincts and polling places on Election Day affect voter turnout and whether these changes target voters based on their partisanship or race [13,40,46]. And a number of other works have focused on the effects of distance to the polling locations [6,8,44] and wait times at these locations [37] on voter turnout. ...
... Compared to traditional media (e.g. newspapers, television), social media news use can increase exposure to cross-cutting information (Muise et al. 2022). The frequency of social media news is positively associated with incidental exposure to counter-attitudinal information (Diehl, Weeks, and Gil de Zúñiga 2016), which can prompt avoidance behaviours. ...
... In this work, we follow the definition of echo chambers provided in [6] to understand the users' attention patterns on YouTube during the COVID-19 pandemic. According to some studies, YouTube is playing a prominent role in the radicalization of opinions [10,25,26] and in the diffusion of questionable (i.e., poorly fact-checked) content being one of the most visited online domain and information retrieval platforms. Our dataset contains 10M comments relative to the videos published from 68 prominent information channels on YouTube in a period ranging from December 2019 to September 2020. ...
... One of the most important of these is the study population, which consisted of highly educated graduatelevel students and postgraduate residents. However, although vaccine hesitancy may be higher among the general population, the growing trend of vaccine hesitancy among healthcare workers and graduate healthcare students suggests that more active engagement and direct interventions may be necessary to connect all segments of the population with scientific knowledge and evidence-based information [40,41]. Another important consideration is the retrospective nature of this study, which has analyzed previously collected data and was not able to provide more in-depth information about socioeconomic factors or socio-cultural information that might provide more opportunities for evaluating and assessing the causes for these shifts in vaccination beliefs and attitudes [42,43]. ...
... Accordingly, there exists a myriad of filtering techniques. On the one hand, these include complex approaches such as prediction markets [10,11], or automated methods like text mining that initially require a lot of human oversight and implementation capacity [12]. On the other hand, approaches like voting and user ratings are easier to implement and widespread on various online platforms. ...
... With the necessary data in hand, the general timeline approachand much of what we have learned herecan be applied fairly directly. Indeed, Pathak et al. (2015) already have provided an initial foray by predicting Oscar winners from the flow of betting odds 17 Also note that this approach allows the possibility of estimating fixed effects, which are of real consequence to comparative analysis (Jennings and Wlezien 2016). 18 Here the precise application of the method will depend on whether the outcome variable in question is continuous (like vote share) or binary. ...
... Although the consequences of misinformation can be far-reaching, some research has shown that such false information comprises less than one percent of people's news diets (Allen et al. 2020;Grinberg et al. 2019) and that the base rate of online exposure to misinformation is very low (see Acerbi, Altay, and Mercier (2022) for an overview). Despite that most societal threats are generally objectively rare (e.g., terrorist attacks, nuclear accidents), the relatively exceptional spread of misinformation might, at times, be overrepresented in public discourse-partly because media attention is biased toward the negative and rare (Soroka, Fournier, and Nir 2019;van der Meer et al. 2019)-and efforts to fight it primarily heighten the salience of misinformation as a threat. ...
... 2 In this paper, we focus on a specific form of fraud, repeat voting, under which voters cast multiple ballots. Evidence from U.S. Presidential elections during the modern era suggests that repeat voting is rare (Goel et al. (2020)). Prior to the introduction of modern voting institutions, such as voter registration systems and the secret ballot, by contrast, evidence suggests that the practice was more pervasive. ...
... We know less about the association between prediction market earnings and forecaster accuracy as well as the reliability of market earnings and associated rankings in prediction markets. Rothschild and colleagues Sethi 2016, Schmitz andRothschild 2019) show that traders exhibit reliable trading patterns; for example, only a minority engage in arbitrage trades, betting on both sides of a contract with minimal directional risk. The use of arbitrage strategies speaks to traders' engagement and relative sophistication in navigating the market environment, but may not be associated with the traders' aptitude to generate predictive insight. ...