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- Garcia, Danilo, 1973, et al.
(författare)
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A Collective Picture of What Makes People Happy: Words Representing Social Relationships, not Money, are Recurrent with the Word ‘Happiness’ in Online Newspapers
- 2016
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Ingår i: G. Riva, B. K. Wiederhold, & P. Cipresso (Eds.), The Psychology of Social Networking. Identity and Relationships in Online Communities Vol. 2. - : DeGruyter Open. - 9783110473780 ; , s. 4-16, s. 4-16
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Bokkapitel (refereegranskat)abstract
- The Internet allows people to freely navigate through news and use that information to reinforce or support their own beliefs in, for example, different social networks. In this chapter we suggest that the representation of current predominant views in the news can be seen as collective expressions within a society. Seeing that the notion of what makes individuals happy has been of increasing interest in recent decades, we analyze the word happiness in online news. We first present research on the co-occurrence of the word happiness with other words in online newspapers. Among other findings, words representing people (e.g., “mom”, “grandmother”, “you”/”me”, “us”/”them”) often appear with the word happiness. Words like “iPhone”, “millions” and “Google” on the other hand, almost never appear with the word for happiness. Secondly, using words with predefined sets of psycholinguistic characteristics (i.e., word-norms measuring social relationships, money, and material things) we further examine differences between sets of articles including the word happiness (“happy” dataset) and a random set (“neutral” dataset) of articles not including this word. The results revealed that the “happy” dataset was significantly related to social relationships word-norm, while the “neutral” dataset was related to the money word-norm. However, the “happy” dataset was also related to the material things word-norm. In sum, there is a relatively coherent understanding among members of a society concerning what makes us happy: relationship, not money; meanwhile there is a more complex relationship when it comes to material things. The semantic method used here, which is particularly suitable for analyzing big data, seems to be able to quantify collective ideas in online news that might be expressed through different social networks.
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| 2. |
- Ma, Lichen, et al.
(författare)
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Integrating virtual realities and psychotherapy : SWOT analysis on VR and MR based treatments of anxiety and stress-related disorders
- 2021
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Ingår i: Cognitive Behaviour Therapy. - : Informa UK Limited. - 1650-6073 .- 1651-2316. ; 50:6, s. 509-526
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Tidskriftsartikel (refereegranskat)abstract
- The use of virtual reality (VR) and mixed reality (MR) technology in clinical psychology is growing. Efficacious VR-based treatments for a variety of disorders have been developed. However, the field of technology-assisted psychotherapy is constantly changing with the advancement in technology. Factors such as interdisciplinary collaboration, consumer familiarity and adoption of VR products, and progress in clinical science all need to be taken into consideration when integrating virtual technologies into psychotherapies. We aim to present an overview of current expert opinions on the use of virtual technologies in the treatment of anxiety and stress-related disorders. An anonymous survey was distributed to a select group of researchers and clinicians, using an analytic framework known as Strengths, Weaknesses, Opportunities, and Threats (SWOT). Overall, the respondents had an optimistic outlook regarding the current use as well as future development and implementation of technology-assisted interventions. VR and MR psychotherapies offer distinct advantages that can overcome shortcomings associated with traditional therapy. The respondents acknowledged and discussed current limitations of VR and MR psychotherapies. They recommended consolidation of existing knowledge and encouraged standardisation in both theory and practice. Continued research is needed to leverage the strengths of VR and MR to develop better treatments.
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