When First Comes Love (or Lust): How Romantic and Sexual Cues Bias First Impressions in Online Social Networking

Three experimental studies (N = 286) tested how priming the concepts of sex or romance influence the way people perceive other social media users. Participants first completed a word-search task containing sexual (intercourse, lust), romantic (love, heart), or control words. Participants then evaluated a target’s sexual qualities and romantic qualities based on social media profiles, as well as rated their acceptance of the priming stimuli. Results suggested that sex primes led participants to judge targets as being more alluring, racy, and provocative, whereas romance primes led participants to judge targets as being more tender, sentimental, and kind. Both men and women found all primes to be equally acceptable content; women were not averse to these mainstream, non-explicit sexual stimuli. Findings are discussed in terms of viewing sex and romance as distinct, yet related networks of concepts and the need to disentangle sex, romance, and sexualized views of romance.     

Calculating Impact Factor: How Bibliographical Classification of Journal Items Affects the Impact Factor of Large and Small Journals

As bibliographical classification of published journal items affects the denominator in this equation, we investigated how the numerator and denominator of the impact factor (IF) equation were generated for representative journals in two categories of the Journal Citation Reports (JCR). We performed a full text search of the 1st-ranked journal in 2004 JCR category “Medicine, General and Internal” (New England Journal of Medicine, NEJM, IF = 38.570) and 61st-ranked journal (Croatian Medical Journal, CMJ, IF = 0.690), 1st-ranked journal in category “Multidisciplinary Sciences” (Nature, IF = 32.182) and journal with a relative rank of CMJ (Anais da Academia Brasileira de Ciencias, AABC, IF = 0.435). Large journals published more items categorized by Web of Science (WoS) as non-research items (editorial material, letters, news, book reviews, bibliographical items, or corrections): 63% out of total 5,193 items in Nature and 81% out of 3,540 items in NEJM, compared with 31% out of 283 items in CMJ and only 2 (2%) out of 126 items in AABC. Some items classified by WoS as non-original contained original research data (9.5% in Nature, 7.2% in NEJM, 13.7% in CMJ and none in AABC). These items received a significant number of citations: 6.9% of total citations in Nature, 14.7% in NEJM and 18.5% in CMJ. IF decreased for all journals when only items presenting original research and citations to them were used for IF calculation. Regardless of the journal’s size or discipline, publication of non-original research and its classification by the bibliographical database have an effect on both numerator and denominator of the IF equation. Preliminary results of the study were presented at the 2006 ORI Research Conference on Research Integrity, Tampa, FL, December 1–3, 2006.     

Anchoring Effects in Simulated Academic Promotion Decisions: How the Promotion Criterion Affects Ratings and the Decision to Support an Application

Six experiments investigated the effect of the promotion criterion in simulated academic promotion decisions. In total, 547 undergraduate students and 33 university faculty members rated a promotion application, and some also indicated their decisions to support or to reject it. Performance ratings were reliably affected by the criterion, with a high criterion resulting in higher ratings than a low criterion, and this criterion effect was found regardless of the evaluator's expertise, whether he or she took the role of an independent assessor or the line manager to the applicant, or whether the criterion was provided by the experimenter or randomly generated by the participant. The criterion also affected the level of support for a candidate when the position applied for was perceived to be extremely competitive, or when a lesser position was considered at a later time. These results provide evidence that the use of a criterion, a fairly common practice in decision‐making processes, may bias performance evaluations, which in turn may have ripple effects that affect the outcome of a chain of events. Our results also shed light on the possible mechanisms that underlie the rating biases in performance appraisal. Copyright © 2014 John Wiley & Sons, Ltd.     

Positional Goods and the Social Rank Hypothesis: Income Inequality Affects Online Chatter about High‐ and Low‐Status Brands on Twitter

According to a social rank hypothesis, consumers who live in regions with higher income inequality will show greater interest in, and attention toward, positional goods and high‐status brands that serve a social signaling role. We analyze millions of posts on the microblogging platform Twitter for mentions of high‐ and low‐status brands. We find that luxury brands such as “Louis Vuitton” and “Rolex” are more frequently mentioned in tweets originating from US states, counties, and major metropolitan areas with higher levels of income inequality. In contrast, mentions of everyday brands such as “Walmart” or “Kmart” are more frequent in regions with a more equal distribution of income. Using sentiment analysis, we find higher valence (positivity) and arousal (excitement) for tweets that both mention high‐status brands and originate from regions with high levels of income inequality. These results corroborate the social rank hypothesis, showing that more psychological resources are allocated to positional consumption when the income gap between the rich and the poor is larger.