I'm Simply the Best, Better than All the Rest - Narcissistic Leaders and Corporate Fundraising Success

Gruda, Dritjon; McCleskey, Jim; Karanatsiou, Dimitra; Vakali, Athena

doi:10.31234/osf.io/kf29y

Cited by 10 publications

(18 citation statements)

References 19 publications

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“…Hence, we measure and control for all Big Five leader and follower personality traits. Previous work [e.g., [36][37][38][39] has shown that personality traits can be measured accurately and successfully in online contexts using social media data. Therefore, in our third step, each Twitter profile was fed into the IBM Watson Personality Insights PLOS ONE API, which extracts and analyzes social media textual data to identify personality traits based on linguistic analysis [40].…”

Section: Sample and Proceduresmentioning

confidence: 99%

Don’t you tweet me badly: Anxiety contagion between leaders and followers in computer-mediated communication during COVID-19

2022

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Do organizational leaders’ tweets influence their employees’ anxiety? And if so, have employees become more susceptible to their leader’s social media communications during the COVID-19 pandemic? Based on emotional contagion and using machine learning algorithms to track anxiety and personality traits of 197 leaders and 958 followers across 79 organizations over 316 days, we find that during the pandemic leaders’ tweets do influence follower state anxiety. In addition, followers of trait anxious leaders seem somewhat protected by sudden spikes in leader state anxiety, while followers of less trait anxious leaders are most affected by increased leader state anxiety. Multi-day lagged regressions showcase that this effect is stronger post-onset of the COVID-19 pandemic compared to the pre-pandemic crisis context.

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Section: Sample and Proceduresmentioning

confidence: 99%

Don’t you tweet me badly: Anxiety contagion between leaders and followers in computer-mediated communication during COVID-19

2022

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“…Linguistic-based text analytics or linguistic analytics exploits information about the syntax and semantics of a language as well as lexicons, to extract important information from textual data. For instance, while Gruda et al (2020) , Gruda, Karanatsiou, Mendhekar, Golbeck, & Vakali, (2021) , Gruda, Karanatsiou, Hanges, Goldbeck, & Vakali, (2021) , and Karanatsiou et al (2020) applied linguistic-based text analytics on Twitter data to detect traits such as narcissism and attachment, Ojo and Rizun (2019) employed linguistic markers found in negative free-text comments provided by hospital service users to determine the frequency and intensity of the associated negative experience. In addition, more recent work by Gruda and Ojo (2021) and Gruda, Ojo & Psychogios (2021) have also demonstrated that mental health signals can be identified from publicly available Twitter data.…”

Section: Methodsmentioning

confidence: 99%

All about that trait: Examining extraversion and state anxiety during the SARS-CoV-2 pandemic using a machine learning approach

Gruda

Ojo

2022

Personality and Individual Differences

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We examine the longitudinal relation between extraversion and state anxiety in a large cohort of New York City (NYC) residents using a linguistic analytical machine learning approach. Anxiety, both state and trait, and Big Five personality traits were predicted using micro-blog data on the Twitter platform. In total, we examined 1336 individuals and a total of 200,289 observations across 246 days. We find that before the onset of SARS-CoV-2 in NYC (before 1st March 2020), extraverts experienced lower state anxiety compared to introverted individuals, while this difference shrinks after the onset of the pandemic, which provides evidence that SARS-COV-2 is affecting all individuals regardless of their extraversion trait disposition. Secondly, a longitudinal examination of the presented data shows that extraversion seems to matter more greatly in the early days of the crisis and towards the end of our examined time range. We interpret results within the unique SARS-CoV-2 context and discuss the relationship between SARS-COV-2 and individual differences, namely personality traits. Finally, we discuss results and outline the limitations of our approach.

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“…(2) Is personality/crowdfunding a core concept of the paper or just used as an example to research a related topic? For example, we excluded Gruda et al ( 2021 ) as crowdfunding is just a concept to which the paper's results are compared (i.e. “We discuss and compare our findings to previous work on narcissism and crowdfunding.” (Gruda et al 2021 , p. 1)); another example is the exclusion of Wang et al ( 2017 ) who investigate sentiments rather than personality (“The study proves that positive sentiment in the blurb and detailed description promotes the successful campaigns” (Wang et al, 2017 , p. 2)).…”

Section: Methodsmentioning

confidence: 99%

Million dollar personality: a systematic literature review on personality in crowdfunding

2021

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Expressed personality traits can play a pivotal role in convincing investors in crowdfunding. Our study answers the research question: What is the current body of knowledge regarding the relationship between personality factors and crowdfunding success and where are knowledge gaps where the literature is silent? In our literature review, we therefore analyze and categorize (1) the results provided by quantitative studies on the relationship between the personality of entrepreneurs and crowdfunding success and (2) the research gaps identified by the authors investigating personality in crowdfunding. We find that studies investigating the entrepreneur's personality, i.e. the Big Five, other baseline personality traits (self-efficacy, innovativeness, locus of control, and need for achievement) and the Dark Triad, find positive relationships between openness and crowdfunding success, while narcissism shows an inverted u-shaped relationship with crowdfunding success across articles. However, the effects of other personality traits on crowdfunding success are largely inconclusive. Further, we identify four main gaps in the literature. First, future studies should examine non-linear relationships between expressed personality traits and crowdfunding success. Second, there is a need for more studies that employ different methods like qualitative or mixed-method approaches. Third, replication studies in similar and different contexts are urgently needed. Fourth, a plurality of personality perspectives would strengthen future research (e.g., investor perspective, third party perspective). To our knowledge this is the first literature review of personality traits in crowdfunding. Our work aims to enrich our understanding of individual-level components in the underexplored alternative finance market.

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I'm Simply the Best, Better than All the Rest - Narcissistic Leaders and Corporate Fundraising Success

Cited by 10 publications

References 19 publications

Don’t you tweet me badly: Anxiety contagion between leaders and followers in computer-mediated communication during COVID-19

Don’t you tweet me badly: Anxiety contagion between leaders and followers in computer-mediated communication during COVID-19

All about that trait: Examining extraversion and state anxiety during the SARS-CoV-2 pandemic using a machine learning approach

Million dollar personality: a systematic literature review on personality in crowdfunding

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