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    Supplementary materials to: Black hope floats: Racial emotion regulation and the uniquely motivating effects of hope on Black political participation

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    Supplementary materials to: Phoenix, D. L. (2020). Black hope floats: Racial emotion regulation and the uniquely motivating effects of hope on Black political participation. Journal of Social and Political Psychology, 8(2), 662-685. https://doi.org/10.5964/jspp.v8i2.847This research was supported in part by a grant from the Alliances for Graduate Education and the Professoriate (AGEP).The Supplementary Materials include a figure illustrating the racial emotion regulation model, the control and treatment flyers from Study 1, a path analysis model from Study 1, and a predicted probability plot from Study 2.peerReviewedacceptedVersio

    Anger (Mis)Management? Racial Differences in the Emotional Foundations of Political Action.

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    Messaging that communicates policy threats—signals of developments in the political environment that will restrict or deny a valued political good—are a constant element of American discourse. Extant scholarship asserts such messaging propels people to greater political action by making them angry over the prospect of loss. Although this notion makes intuitive sense and has empirical backing, I argue policy threat cues do not effectively stimulate political action across all groups. Existing work exploring the linkage of emotion and behavior has not fully contended with the influence of race in determining individuals’ responses to cues of policy threat. This project aims to fill what I argue is a gap in the literature. I use affective intelligence and cognitive appraisal theories as frameworks for understanding how receipt of varying cues can engender distinct affective and behavioral responses. Integrating this literature with the work on black attitudes, I theorize that the respective interpretative lenses employed by blacks and whites to inform their broader perceptions of the political system—and their respective roles within it—systematically constrain their emotional responses to policy threat cues. The ideological narratives shaping blacks’ general worldview breed an overarching resignation regarding the political system’s responsiveness to blacks’ collective demands. This resignation can either inhibit the arousal of anger among blacks receiving policy threat cues, or it can override the mobilizing effects of anger by signaling to the threat cue recipient the ineffectiveness of his potential action. Whether anger’s emergence is inhibited among blacks, or anger’s positive effect on action after emergence is disrupted, the subsequent effect is the same. African Americans will not take up greater action in response to the policy threat, creating a critical participation disparity relative to whites. Two empirical studies, examining nationally representative survey data and a locally conducted survey experiment, suggest multiples pathways through which race constrains the translation of anger to political action in response to policy threat cues. These studies aid the construction of a theory of racialized emotional and behavioral responses to policy cues. This theory advances scholarly and practical understanding of race, emotion, communication and participation.PhDPublic Policy and Political ScienceUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/111543/1/dphoenix_1.pd

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Clarifying the “People Like Me”: Racial Efficacy and Political Behavior

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    Political efficacy, or a sense of confidence that “people like me” can understand politics and receive responsiveness from government, is central to the study of political behavior. However, the reference group that respondents view as “people like me” is not always immediately clear. This limits our ability to infer how efficacy informs political participation. We propose a specific concept and operationalization of racial group efficacy, and we distinguish this concept from racial identity, group consciousness, and conventional efficacy measures. Analyses of data from the 2016 Collaborative Multiracial Post-Election Survey reveal that for white, Black, Asian, and Latina/o Americans, racial efficacy is a more consistent and robust predictor of political participation than standard internal and external efficacy measures. Further, we show that racial efficacy exhibits associations with conventional and unconventional forms of participation that distinguish whites from people of color. We conclude by discussing how people’s racial efficacy informs their engagement in politics, from voting to protests

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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