The Experts below are selected from a list of 68016 Experts worldwide ranked by ideXlab platform
Victor Joo Chuan Tong - One of the best experts on this subject based on the ideXlab platform.
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effects of cultural tightness looseness and social network density on Expression of positive and negative emotions a large scale study of impression management by facebook users
Personality and Social Psychology Bulletin, 2018Co-Authors: Pan Liu, David Chan, Lin Qiu, William Tov, Victor Joo Chuan TongAbstract:Using data from 13,789 Facebook users across U.S. states, this study examined the main effects of societal-level cultural tightness-looseness and its interaction effects with individuals' social network density on impression management (IM) in terms of online Emotional Expression. Results showed that individuals from culturally tight (vs. loose) states were more likely to express positive emotions and less likely to express negative emotions. Meanwhile, for positive Emotional Expression, there was a tightness-looseness by social network density interaction effect. In culturally tight states, individuals with dense (vs. sparse) networks were more likely to express positive emotions, while in culturally loose states this pattern was reversed. For negative Emotional Expression, however, no such interaction was observed. Our findings highlight the influence of cultural norms and social network structure on Emotional Expressions as IM strategies.
Sidra H Deen - One of the best experts on this subject based on the ideXlab platform.
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ambivalence over Emotional Expression intrusive thoughts and posttraumatic stress symptoms among chinese american breast cancer survivors
Supportive Care in Cancer, 2017Co-Authors: Nelson C Y Yeung, Jenny Man, Matthew W Gallagher, Qiao Chu, Sidra H DeenAbstract:Objective Posttraumatic stress symptoms (PTSS) are common among breast cancer survivors. However, the association and the underlying mediating mechanism between psychosocial factors and PTSS were rarely investigated among breast cancer survivors. Previous studies have suggested the importance of Emotional Expression in cancer survivors’ PTSS. This study examined the association between ambivalence over Emotional Expression (AEE; defined as the conflict between the desire to express feelings and the fear of its consequences) and PTSS, and proposed intrusive thoughts as the mediators in such an association. We tested this proposed mediation model among Chinese breast cancer survivors whose culture discourages Emotional Expression.
Pan Liu - One of the best experts on this subject based on the ideXlab platform.
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effects of cultural tightness looseness and social network density on Expression of positive and negative emotions a large scale study of impression management by facebook users
Personality and Social Psychology Bulletin, 2018Co-Authors: Pan Liu, David Chan, Lin Qiu, William Tov, Victor Joo Chuan TongAbstract:Using data from 13,789 Facebook users across U.S. states, this study examined the main effects of societal-level cultural tightness-looseness and its interaction effects with individuals' social network density on impression management (IM) in terms of online Emotional Expression. Results showed that individuals from culturally tight (vs. loose) states were more likely to express positive emotions and less likely to express negative emotions. Meanwhile, for positive Emotional Expression, there was a tightness-looseness by social network density interaction effect. In culturally tight states, individuals with dense (vs. sparse) networks were more likely to express positive emotions, while in culturally loose states this pattern was reversed. For negative Emotional Expression, however, no such interaction was observed. Our findings highlight the influence of cultural norms and social network structure on Emotional Expressions as IM strategies.
William Tsai - One of the best experts on this subject based on the ideXlab platform.
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ambivalence over Emotional Expression and intrusive thoughts as moderators of the link between self stigma and depressive symptoms among chinese american breast cancer survivors
Journal of Behavioral Medicine, 2019Co-Authors: William TsaiAbstract:Due to successful public health campaigns, breast cancer has successfully transformed from a highly stigmatized illness to a philanthropically supported disease in the United States. However, Chinese American breast cancer survivors continue to experience high levels of self-stigma and associated negative mental health outcomes. In the present study, we examined the relations between self-stigma and depressive symptoms, and further tested individual difference variables such as ambivalence over Emotional Expression and intrusive thoughts that may exacerbate the harmful effects of self-stigma among this population. One hundred and twelve foreign-born Chinese breast cancer survivors living in the United States completed questionnaires measuring self-stigma, depressive symptoms, AEE, and intrusive thoughts. We found significant AEE × self-stigma and intrusive-thought × self-stigma interaction effects in predicting depressive symptoms. Specifically, the relationships between self-stigma and depressive symptoms were exacerbated among individuals with high levels of AEE and intrusive thoughts. Self-stigma represents a significant predictor of depressive symptoms among Chinese breast cancer survivors, and particularly so for individuals with higher levels of AEE and intrusive thoughts. The findings suggest that for interventions designed to reduce the negative mental health outcomes associated with self-stigma, targeting risk factors such as AEE and intrusive thoughts might be promising.
Jason E. Owen - One of the best experts on this subject based on the ideXlab platform.
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identification of Emotional Expression with cancer survivors validation of linguistic inquiry and word count
JMIR Formative Research, 2020Co-Authors: Michelle Mcdonnell, Jason E. Owen, Erin Ocarroll BantumAbstract:BACKGROUND Given the high volume of text-based communication such as email, Facebook, Twitter, and additional web-based and mobile apps, there are unique opportunities to use text to better understand underlying psychological constructs such as emotion. Emotion recognition in text is critical to commercial enterprises (eg, understanding the valence of customer reviews) and to current and emerging clinical applications (eg, as markers of clinical progress and risk of suicide), and the Linguistic Inquiry and Word Count (LIWC) is a commonly used program. OBJECTIVE Given the wide use of this program, the purpose of this study is to update previous validation results with two newer versions of LIWC. METHODS Tests of proportions were conducted using the total number of emotion words identified by human coders for each Emotional category as the reference group. In addition to tests of proportions, we calculated F scores to evaluate the accuracy of LIWC 2001, LIWC 2007, and LIWC 2015. RESULTS Results indicate that LIWC 2001, LIWC 2007, and LIWC 2015 each demonstrate good sensitivity for identifying Emotional Expression, whereas LIWC 2007 and LIWC 2015 were significantly more sensitive than LIWC 2001 for identifying Emotional Expression and positive emotion; however, more recent versions of LIWC were also significantly more likely to overidentify Emotional content than LIWC 2001. LIWC 2001 demonstrated significantly better precision (F score) for identifying overall emotion, negative emotion, and anxiety compared with LIWC 2007 and LIWC 2015. CONCLUSIONS Taken together, these results suggest that LIWC 2001 most accurately reflects the Emotional identification of human coders.
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linguistically tailored video feedback increases total and positive Emotional Expression in a structured writing task
Computers in Human Behavior, 2011Co-Authors: Jason E. Owen, Eric R Hanson, Doug A Preddy, Erin Ocarroll BantumAbstract:A strength of computer-based interventions is the capacity to tailor to individual differences, but most studies have tailored to self-report, rather than linguistic, data. The purpose of the present study was to develop and evaluate the effects of linguistically-tailored feedback on an Internet-based expressive writing intervention. Two hundred eighty-one participants were asked to engage in 3days of expressive writing and were randomly assigned to one of 3 feedback conditions: control (no feedback), simple (feedback about levels of Emotional Expression), and directive (simple feedback+suggestions for Emotional processing). A Perl-based implementation of Linguistic Inquiry and Word Count (LIWC) was developed in order to provide dynamic feedback to participants based on levels of Emotional Expression identified in their writing. This implementation provided near-perfect correlations with standard LIWC output, r's=.98-1.00. Positive and total, but not negative, Emotional Expression increased over time for those who received simple or directive feedback. These findings suggest that linguistically-tailored feedback has the potential to alter patterns of engagement in computer-based interventions. However, additional research is needed to identify the most effective types of feedback in order to enhance immediate effects on writing and longitudinal effects on relevant outcomes.
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evaluating the validity of computerized content analysis programs for identification of Emotional Expression in cancer narratives
Psychological Assessment, 2009Co-Authors: Erin Ocarroll Bantum, Jason E. OwenAbstract:Psychological interventions provide linguistic data that are particularly useful for testing mechanisms of action and improving intervention methodologies. For this study, Emotional Expression in an Internetbased intervention for women with breast cancer (n 63) was analyzed via rater coding and 2 computerized coding methods (Linguistic Inquiry and Word Count [LIWC] and Psychiatric Content Analysis and Diagnosis [PCAD]). Although the computerized coding methods captured most of the emotion identified by raters (LIWC sensitivity .88; PCAD sensitivity .83), both over-identified Emotional Expression (LIWC positive predictive value .31; PCAD positive predictive value .19). Correlational analyses suggested better convergent and discriminant validity for LIWC. The results highlight previously unrecognized deficiencies in commonly used computerized content-analysis programs and suggest potential modifications to both programs that could improve overall accuracy of automated identification of Emotional Expression. Although the authors recognize these limitations, they conclude that LIWC is superior to PCAD for rapid identification of Emotional Expression in text.
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detecting Emotional Expression in face to face and online breast cancer support groups
Journal of Consulting and Clinical Psychology, 2008Co-Authors: Anna Liess, Jason E. Owen, Mitch Golant, Wendy Simon, Maya Yutsis, Karen Altree Piemme, Janine GiesedavisAbstract:Accurately detecting Emotional Expression in women with primary breast cancer participating in support groups may be important for therapists and researchers. In 2 small studies (N = 20 and N = 16), the authors examined whether video coding, human text coding, and automated text analysis provided consistent estimates of the level of Emotional Expression. In Study 1, the authors compared coding from videotapes and text transcripts of face-to-face groups. In Study 2, the authors examined transcripts of online synchronous groups. The authors found that human text coding significantly overestimated Positive Affect and underestimated Defensive/Hostile Affect compared with video coding. They found correlations were low for Positive Affect but moderate for negative affect between Linguistic Inquiry Word Count (LIWC) and video coding. The implications of utilizing text-only detection of emotion are discussed.
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Self-Report and Linguistic Indicators of Emotional Expression in Narratives as Predictors of Adjustment to Cancer
Journal of Behavioral Medicine, 2006Co-Authors: Jason E. Owen, Janine Giese-davis, Matt Cordova, Carol Kronenwetter, Mitch Golant, David SpiegelAbstract:Emotional Expression and cognitive efforts to adapt to cancer have been linked to better psychological adjustment. However, little is known about the relationship between linguistic indicators of Emotional and cognitive coping efforts and corresponding self-report measures of related constructs. In this study, we sought to evaluate the interrelationships between self-reports of Emotional suppression and linguistic indicators of Emotional and cognitive coping efforts in those living with cancer. Seventy-one individuals attending a community cancer support group completed measures of Emotional suppression and mood disturbance and provided a written narrative describing their cancer experience. Self-reports of Emotional suppression were associated with more rather than less distress. Although linguistic indicators of both Emotional Expression and cognitive processing were generally uncorrelated with self-report measures of Emotional suppression and mood disturbance, a significant interaction was observed between Emotional suppression and use of cognitive words on mood disturbance. Among those using higher levels of Emotional suppression, increasing use of cognitive words was associated with greater levels of mood disturbance. These findings have implications for a) the therapeutic use of emotion in psychosocial interventions and b) the use of computer-assisted technologies to conduct content analysis.
