38 research outputs found

    Individuals with and without child maltreatment experiences are evaluated similarly and do not differ in facial affect display at zero- and first-acquaintance

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    Abstract: Background Individuals with a history of child maltreatment (CM) are more often disliked, rejected and victimized compared to individuals without such experiences. However, contributing factors for these negative evaluations are so far unknown. Objective: Based on previous research on adults with borderline personality disorder (BPD), this preregistered study assessed whether negative evaluations of adults with CM experiences, in comparison to unexposed controls, are mediated by more negative and less positive facial affect display. Additionally, it was explored whether level of depression, severity of CM, social anxiety, social support, and rejection sensitivity have an influence on ratings. Methods: Forty adults with CM experiences (CM +) and 40 non‑maltreated (CM‑) adults were filmed for measurement of affect display and rated in likeability, trustworthiness, and cooperativeness by 100 independent raters after zero‑acquaintance (no interaction) and 17 raters after first‑acquaintance (short conversation). Results: The CM + and the CM‑ group were neither evaluated significantly different, nor showed significant differences in affect display. Contrasting previous research, higher levels of BPD symptoms predicted higher likeability ratings (p = .046), while complex post‑traumatic stress disorder symptoms had no influence on ratings. Conclusions: The non‑significant effects could be attributed to an insufficient number of participants, as our sample size allowed us to detect effects with medium effect sizes (f2 = .16 for evaluation; f2 = .17 for affect display) with a power of .95. Moreover, aspects such as the presence of mental disorders (e.g., BPD or post‑traumatic stress disorder), might have a stronger impact than CM per se. Future research should thus further explore conditions (e.g., presence of specific mental disorders) under which individuals with CM are affected by negative evaluations as well as factors that contribute to negative evaluations and problems in social relationships. Keywords: Child maltreatment, Zero‑acquaintance, First‑acquaintance, Facial emotion expressio

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe
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