Can a beautiful smile win the vote?

Several empirical studies have linked political candidates’ electoral success to their physical appearance. We reexamine the effects of candidates’ physical attractiveness by taking into account emotional facial expressions as measured by automated facial recognition software. The analysis is based on an observational case study of candidate characteristics in the 2017 German federal election. Using hierarchical regression modeling and controlling for candidates’ displays of happiness, consistent effects of physical attractiveness remain. The results suggest that a potential interaction effect between displays of happiness and attractiveness positively affects vote shares. The study emphasizes the importance of considering emotional expressions when analyzing the impact of candidate appearance on electoral outcomes.

Immigrants Serving in Local Government: A Systematic Review and Meta-Analysis of Factors Affecting Candidacy and Election

Descriptive representation, the extent to which politicians reflect the descriptive characteristics (e.g., ethnicity or gender) of their constituents, has been studied at various scales since it was first introduced in Hanna Pitkin's seminal work several decades ago. In recent years, scholars have also begun to investigate immigrant representation in politics, including at the local, state, and national levels of government. This study evaluates the current research on the factors affecting the election of immigrant candidates to municipal government. In addressing the lack of data-driven reviews in this type of research, the paper employs a scoping review methodological framework. Fifty-six distinct factors are identified as important for immigrants’ electoral fortunes. The factors are classified under: Macro-level electoral structures and situational elements, meso-level immigrant group dynamics, and micro-level individual candidate characteristics. The most salient factors are elaborated on, together with a discussion on policy implications and future potential areas of inquiry.

Gender, Candidate Emotional Expression, and Voter Reactions During Televised Debates

Voters evaluate politicians not just by what they say, but also how they say it, via facial displays of emotions and vocal pitch. Candidate characteristics can shape how leaders use—and how voters react to—nonverbal cues. Drawing on role congruity expectations, we study how the use of and reactions to facial, vocal, and textual communication in political debates varies by candidate gender. Relying on full-length videos of four German federal election debates (2005–2017) and a minor party debate, we use video, audio, and text data to measure candidate facial displays of emotion, vocal pitch, and speech sentiment. Consistent with our expectations, Angela Merkel expresses less anger than her male opponents, but she is just as emotive in other respects. Combining these measures of emotional expression with continuous responses recorded by live audiences, we find that voters punish Merkel for anger displays and reward her happiness and general emotional displays.

Candidates rather than context shape campaign sentiment in French Presidential Elections (1965–2017)

The manuscript explores whether and how the strategic context of elections and candidate attributes affect campaign sentiment. Studying five decades of French presidential elections, it provides the first longitudinal test of campaign tone outside the USA. Thereby, the paper examines concerns of an increase in negativity due to changes in electoral competition. It takes leverage from the electoral system, to study whether the strategic environment of elections (first vs. second rounds of elections) or candidate characteristics (ideology and outsider status) determine the use of positive and negative tone. To this end, the paper applies sentiment analysis to personal manifestos (professions de foi) issued by all candidates running in presidential elections (1965–2017) and validates the French Lexicoder Sentiment Dictionary for longitudinal studies of campaign tone. Results reject worries about an increase in negativity in French elections over time. Moreover, while context matters to some extent, candidate attributes are by far more important for explaining campaign sentiment in presidential races. The findings contribute to research on the role of sentiment in electoral competition and tackle broader issues related to the impact of positive and negative political communication for elections and democracies.

Sexual Predators in Contest for Public Office: How the American Electorate Responds to News of Allegations of Candidates Committing Sexual Assault and Harassment

Candidate characteristics have an important impact on voter choice, and scandals are found to negatively impact a political campaign. Yet the literature, with its focus on scandals such as financial and (consensual) affairs, has failed to look into how allegations of sexual assault and harassment may impact electability. This study analyzes the effect that allegations of sexual assault or harassment have on the electoral success of American politicians. Using an original survey experiment, we find that, on average, American citizens are less likely to support a candidate accused of sexual assault or sexual harassment. However, not all voters do so to the same magnitude. We find that Democrats are significantly less likely to support a candidate that faces such allegations. Republicans do not strongly penalize candidates facing allegations of sexual assault or harassment, especially if the candidate is identified as a Republican. We analyze open-ended survey responses to offer an explanation for such variation: a propensity to disbelieve women who speak out about sexual assault and harassment explains variations in why some voters may not change their opinion of a candidate based on an allegation.

Descriptive and Injunctive Incivility Norms in Political Campaigns: Differences Across Behavior Type, Candidate Gender, and Candidate Party Position

Despite evidence that a majority of people in the United States say that they want more civil politics, candidates still use incivility strategically during campaigns. Distinguishing between descriptive and injunctive norms may help explain this apparent contradiction. This study presents an experiment conducted with participants recruited at 2020 Democratic Iowa Caucus rallies that tested whether (a) individuals differ in their descriptive and injunctive normative beliefs about a variety of uncivil behaviors and (b) candidate characteristics such as gender and insider/outsider status in a party influence respondents’ normative beliefs. Findings suggest that, while descriptive and injunctive norms align for some campaign behaviors, they do not for all behaviors, such as sharing false information and using insults. Additionally, men and women candidates, as well as political insider and outsider candidates, are expected to behave differently but are held to the same injunctively normative standard when uncivil behaviors are attributed to them. Future incivility researchers should continue investigating descriptive and injunctive norms to investigate whether voters dismiss descriptively common behaviors during campaigns, even if they perceive those behaviors as inappropriate and uncivil.

Towards a Rational Balanced Pancreatic and Islet Allocation Schema

Allocation of donated organs for transplantation is a complex process that considers numerous factors such as donor, organ and candidate characteristics and practical issues such as geography. Whole pancreas and isolated islet transplantation are lifesaving for certain individuals with diabetes. Herein, we suggest a revised allocation schema that matches donor characteristics with candidate medical condition while allowing for geographic considerations. It is hoped that adoption of this schema will shorten allocation time, decrease organ waste and optimize the parity between organ donor characteristics and candidate state of health.

Reevaluating Factor Models

Since the introduction of CAPM in the 1960s, the asset pricing literature has documented hundreds of characteristics that capture the cross-sectional variation in stock returns. Traditionally, multifactor models seek a multidimensional representation of common risks; this approach entails selecting a small number of representative characteristics from a set of candidate characteristics that, together, explain most of the cross-sectional variation in stock returns. Characteristics-based long-short portfolios are partially loaded on the true underlying risk factors and are at best noisy proxies for true latent factors. However, the expansive list of potential characteristics, along with developments in the field of dimensionality reduction, offers us an opportunity to seek better approximations of the unobservable latent risk factors. A recent stream of literature has investigated how to appropriately extract relevant features from the “factor zoo” while incorporating information from the expansive list of factors. This chapter aims to summarize this novel paradigm in factor modeling.

Gender, Candidate Emotional Expression, and Voter Reactions During Televised Debates

Voters evaluate politicians not just by what they say, but also how they say it, via facial displays of emotions and vocal pitch. Candidate characteristics can shape how leaders use – and how voters react to – nonverbal cues. Drawing on role congruity expectations, we focus on how gender shapes the use of and reactions to facial, voice, and textual communication in political debates. Using full-length debate videos from four German national elections (2005–2017) and a minor debate in 2017, we employ computer vision, machine learning, and text analysis to extract facial displays of emotion, vocal pitch, and speech sentiment. Consistent with our expectations, Angela Merkel expresses less anger and is less emotive than her male opponents. We combine second-by-second candidate emotions data with continuous responses recorded by live audiences. We find that voters punish Merkel for anger displays and reward her happiness and general emotional displays.

Screening Job Candidates With Social Media

With the proliferation of social media, job candidate screening and evaluation professionals have new avenues to gather information regarding job candidates. Job candidates recognize that recruiters will examine their social media, and tailor their profiles to foster a positive impression. However, recent popular press news suggests that some employers are taking social media screening to more invasive levels. This study seeks to evaluate how job candidates respond to social media screening from recruiters. Using a scenario-based experiment with 290 subjects, the authors tested relationships between candidate characteristics and trust in the recruiter as well as hesitancy to accept an offer. This research found that under all conditions, trust reduces hesitancy to accept the offer and that age reduces trust in the company. Further, this article found differences in the relationships between privacy protection competence, social media production and trusting stance on trust in the company based on the level of social media screening.