| 1. |
- Garcia, Danilo, 1973, et al.
(författare)
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Identity Clusters in LinkedIn: Competence and Warmth
- 2018
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Ingår i: 30th APS Annual Convention, San Francisco, CA, USA: 24-27 May 2018.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- We used quantitative semantics to find clusters of words in LinkedIn users’ self-descriptions to an employer or a friend. Some of these identity clusters discriminated between worker and friend conditions (e.g., flexible vs caring) and between LinkedIn users with high and low education (e.g., analytical vs. messy).
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| 2. |
- Amato, Clara, et al.
(författare)
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LinkedIn Users' Identity Clusters in the Prediction of Affectivity and Regulatory Mode
- 2019
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Ingår i: 3rd Biennial International Convention of Psychological Science. Paris, France..
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- We used quantitative semantics to find clusters of words in LinkedIn users’ self-descriptions. Some of these identity clusters discriminated between LinkedIn users with high/low positive affect (social and messy vs. honest), high/low negative affect (social vs. flexible), high/low locomotion (social vs. flexible), and high/low assessment (analytical vs. happy).
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| 3. |
- Amato, Clara, et al.
(författare)
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Newly Graduated Nurses' Learning Work Climate, Health, Resilience, and Burnout Symptoms
- 2020
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Ingår i: 32nd Association for Psychological Science Annual Convention. Chicago, Illinois, USA.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The results provide an indication of important learning work climate factors associated to newly graduated nurses’ health, ability to cope successfully in adverse circumstances (i.e., resilience), and burnout symptoms. It is, however, plausible that there is an interconnection between personal vulnerability, learning climate, and health (Stoyanov & Cloninger, 2011).
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| 4. |
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| 5. |
- Cloninger, Kevin M., et al.
(författare)
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The Prevalence of Personality (Temperament and Character) Profiles among Swedish Newly Graduated Nurses
- 2020
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Ingår i: 32nd Association for Psychological Science Annual Convention. Chicago, Illinois, USA.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Personal vulnerability (i.e., specific personality profiles) is a major factor for burnout among helping professionals. Compared to the general population, 80% of Swedish newly graduated nurses reported high Reward Dependence (i.e., being sentimental, warm, attached, and dependent) and 95% reported low Self-Directedness (i.e., being blaming, aimless, helpless, defensive, and unfulfilled).
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| 6. |
- Drejing, Karl, et al.
(författare)
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Time Focused Incitements: Re-examining Previous Findings with Ecologically Valid Data
- 2016
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Ingår i: 3rd International Conference on Time Perspective, Copenhagen, Denmark..
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Background: Many theories try to explain our perceptions and evaluations of life events in different temporal dimensions. Previous experiments have discovered a temporal asymmetry that suggests that the valence of imagined future events is more intense than if the same event was imagined to occur in the past. However, most research has focused on fictitious events that may be influenced by selection biases from researchers conducting the experiments. Our aim is to investigate if these previous findings are replicable using a large corpus with news articles from Reuters. This dataset presents a type of communication of events that is part of most of peoples’ lives, thus, allowing an ecological validation of past findings. Method: We used 10,000 articles from about one thousand journalists who wrote news stories during 1997. As time markers we selected 10 solid verb conjugations (past and present tense) and 2 auxiliary verbs (future tense), and secondly 5 specific years: 1995-1996 (past), 1997 (present), and 1998-1999 (future). The valence of contexts in the articles was extrapolated by sentiment analysis. Results: Verbs as the time markers generated 20,225 contexts, while years generated 16,396 contexts. An ANOVA found an effect of verb groups (past tense, present tense and future tense) on the contexts’ valence (F = 828.51, df = 2; 20219, p < 0.001). A two-tailed independent sample t-test found a significant difference between past and present (t(9225) = -11.91, p < 0.001) and between present and future (t(14004) = -17.86, p < 0.001). An ANOVA reveled an effect of year groups (1995-1996, 1997, and 1998-1999) on valence (F = 114.22, df = 5; 16390, p < .001). A LSD post-hoc test showed that valence was higher (p < .001) for the 1999-contexts (future) compared to contexts in all the other year groups. Conclusion: Despite of the fact that the data we used here contained a mixture of positive and negative events, our results indicate that future valence > present > past. We argue that these results need to be seen in the light of recent findings using computer simulations, which suggest that individuals who communicate self-beneficial evaluative statements are more likely to survive than individuals not doing so. In addition, humans strive to create legacies for the benefit of future generations. Thus, in real life positive evaluative statements about the future are an incitement to change and to strive forward rather than backward, thus suggesting a time focused incitement to change. In essence we seem to communicate that the past is dark but the future is bright.
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| 7. |
- Garcia, Danilo, 1973, et al.
(författare)
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A Quantification of Agentic and Communal Values in Adolescents’ Life Narratives
- 2014
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Ingår i: 167th American Psychiatric Association Annual Meeting, New York, New York, USA..
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Background Life stories emphasize the narrative and self-organizing aspects of human behaviors and complement personality traits in explaining human identity. In contrast to most research on narratives in which the analysis is restricted to the researcher’s subjective evaluations and interpretations, we used computational methods to quantitatively investigate the relationship between personality and narratives events. Meta-cognitive strategies and principles that guide agentic (self-directedness; e.g., being autonomous, responsible and having self-control), communal (cooperativeness; e.g., showing empathy, helping behavior, and social tolerance), and transcendental (self-transcendence; e.g., the sense of being part of the whole universe) behavior were of special interest. We also investigated which pronouns were most common in relation to personality constructs that were significantly related to the narratives. Method Personality was assessed among 79 adolescents at one point in time using the NEO Personality Inventory – Revised (NEO-PI-R) and the Temperament and Character Inventory (TCI). Six months later, adolescents were asked to write down the most positive or the most negative event that had happened to them in the last three months. Adolescents were explicitly instructed to answer the following questions within their narratives: What happened? Who were involved? Why do you think it happened? How did you feel when it happened? How do you think the involved persons felt? The descriptions were quantified using semantic spaces, a computational method in which the Latent Semantic Analysis algorithm generates a semantic representation of the narratives. This representation was used to study whether it predicted the personality measures. Results Only Self-directedness and Cooperativeness were predicted by the semantic representation of the narratives. High levels of Self-directedness and Cooperativeness were associated with plural pronouns (e.g., us), whereas low levels were associated with singular pronouns (e.g., one-self, mine). Conclusions Agentic and communal values are involved when adolescents describe positive and negative life experiences.
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| 8. |
- Garcia, Danilo, 1973, et al.
(författare)
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Aspiring Entrepreneurial Identity: AI Methodology on Self-descriptive Words
- 2020
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Ingår i: 32nd Association for Psychological Science Annual Convention. Chicago, Illinois, USA..
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Using AI and clustering methods, we found that self-descriptions of students applying to entrepreneurial schools differed in meaning (i.e., semantics) and the words being used (e.g., funny, friendly, creative, smart, kind, determined, and curious) compared to self-descriptions of a large population of US-residents. Thus, suggesting a specific aspiring entrepreneurial identity.
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| 9. |
- Garcia, Danilo, 1973, et al.
(författare)
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Changes in Identity Following a Leader Development Program: Application of AI Approaches on Self-descriptive Words and Narratives
- 2020
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Ingår i: 32nd Association for Psychological Science Annual Convention. Chicago, Illinois, USA.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The Understanding Groups and Leaders (UGL) is an experienced based 5-Day intervention and one of the most popular leader development programs in Sweden. We found, using artificial intelligence, that participants’ self-descriptions differed in meaning before and after the UGL. Thus, suggesting a significant change in leaders’ identity after the intervention.
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| 10. |
- Garcia, Danilo, 1973, et al.
(författare)
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Dark Identity: Distinction between malevolent character traits through self-descriptive language
- 2017
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Ingår i: Ninth Self Biennial International Conference. Melbourne, Australia: 25-28 September.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Background: Peoples’ tendencies to be manipulative, opportunistic, selfish, and callous are reflected in three dark character traits: Machiavellianism, narcissism, and psychopathy. Since individual differences are encoded in natural language, we expected that the words that people use to describe themselves reflected their malevolent traits. Method: A total of 2,374 participants, recruited from Amazon’s MTurk, responded to the Short Dark Triad and were asked to generate 10 self-descriptive words. The first analysis was a word-frequency analysis. In the second analysis, the words were quantified using the Latent Semantic Analysis algorithm, which quantifies meaning by computing the words co-occurrence in natural language. Results: The 2,374 participants generated a total of 25,698 words (2,373 unique words). For each dark trait we found specific words participants used to describe themselves. The quantified meaning of the words and the dark traits showed significant correlations (Machiavellianism: r=.19, p<.0001; narcissism: r=.35, p<.0001; psychopathy r=.35, p<.0001). Conclusion: We found that specific keywords and the dark traits are predictable from the meaning of words people use for self-presentation. Our results also suggest that each of these dark traits is not only distinctive of a person’s identity but also to an explicit awareness of the dark self
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