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  1. AU="Capodanno, Megan"
  2. AU="Mendes, Cibele"
  3. AU="Beuzekom, M van"
  4. AU="Suzuki, Takamasa"
  5. AU="Szymoniuk, Michał"
  6. AU="Ramiro-Cortés, Yazmín"
  7. AU="Krishnamoorthy, Gayathri"
  8. AU="Wu, YiFeng"
  9. AU="Marventano, Ivana"
  10. AU="Phaltane, Sandeep" AU="Phaltane, Sandeep"
  11. AU="Gwack, Jin"
  12. AU="Lori, Gillad"
  13. AU=Mueller Christian A

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  1. Artikel ; Online: He did it! Or did I just see him on Twitter? Social media influence on eyewitness identification.

    Kleider-Offutt, Heather M / Stevens, Beth B / Capodanno, Megan

    Memory (Hove, England)

    2021  Band 30, Heft 4, Seite(n) 493–504

    Abstract: Eyewitness identification is fallible, and suggestive post-event information is known to facilitate error; however, whether social media valence affects identification decisions is unknown. After viewing crime videos of various race perpetrators, ... ...

    Abstract Eyewitness identification is fallible, and suggestive post-event information is known to facilitate error; however, whether social media valence affects identification decisions is unknown. After viewing crime videos of various race perpetrators, participants saw post-event Twitter photos of the perpetrator or a foil that varied in valence. Participants attempted identification from a lineup including both individuals and rated the confidence and source (i.e., video, Twitter) of their selection. Results showed that Twitter photos of the perpetrator increased the likelihood of accurate identification and related confidence, whereas seeing the foil reduced the likelihood of a correct identification and related confidence. Remembering the perpetrator from the crime influenced correct identification, while remembering other incorrect sources (e.g., Twitter) only lead to misidentification. Twitter valence and perpetrator race did not impact outcomes. Results suggest that difficulty in identifying a perpetrator is underpinned by source monitoring confusion which is exacerbated by viewing social media that includes innocent suspects.
    Mesh-Begriff(e) Crime ; Humans ; Male ; Mental Recall ; Recognition, Psychology ; Social Media
    Sprache Englisch
    Erscheinungsdatum 2021-07-19
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 1147478-6
    ISSN 1464-0686 ; 0965-8211
    ISSN (online) 1464-0686
    ISSN 0965-8211
    DOI 10.1080/09658211.2021.1953080
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: What's in a face? The role of facial features in ratings of dominance, threat, and stereotypicality.

    Kleider-Offutt, Heather / Meacham, Ashley M / Branum-Martin, Lee / Capodanno, Megan

    Cognitive research: principles and implications

    2021  Band 6, Heft 1, Seite(n) 53

    Abstract: Faces judged as stereotypically Black are perceived negatively relative to less stereotypical faces. In this experiment, artificial faces were constructed to examine the effects of nose width, lip fullness, and skin reflectance, as well as to study the ... ...

    Abstract Faces judged as stereotypically Black are perceived negatively relative to less stereotypical faces. In this experiment, artificial faces were constructed to examine the effects of nose width, lip fullness, and skin reflectance, as well as to study the relations among perceived dominance, threat, and Black stereotypicality. Using a multilevel structural equation model to isolate contributions of the facial features and the participant demographics, results showed that stereotypicality was related to wide nose, darker reflectance, and to a lesser extent full lips; threat was associated with wide nose, thin lips, and low reflectance; dominance was mainly related to nose width. Facial features explained variance among faces, suggesting that face-type bias in this sample was related to specific face features rather than particular characteristics of the participant. People's perceptions of relations across these traits may underpin some of the sociocultural disparities in treatment of certain individuals by the legal system.
    Mesh-Begriff(e) Bias ; Humans
    Sprache Englisch
    Erscheinungsdatum 2021-08-03
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 2365-7464
    ISSN (online) 2365-7464
    DOI 10.1186/s41235-021-00319-9
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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