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  1. Article ; Online: Social identification, identity integration and wellbeing in people who hear voices.

    Hogg, Lorna I / Smith, Laura G E / Kurz, Tim / Morrison, Anthony P

    Psychology and psychotherapy

    2023  

    Abstract: Objectives: Hearing voices is associated with public stigma and this can influence readiness to identify as a voice hearer (VH) and psychological wellbeing. In this study, we investigated the relationships between a VH social identity, the integration ... ...

    Abstract Objectives: Hearing voices is associated with public stigma and this can influence readiness to identify as a voice hearer (VH) and psychological wellbeing. In this study, we investigated the relationships between a VH social identity, the integration of that identity with other important social identities and wellbeing.
    Design: Cross-sectional study, with a subset of longitudinal data across three time points.
    Methods: People who self-identified as voice hearers completed questionnaires (VH social identity, identity integration, wellbeing and perceptions of in-group and out-group empathy) at three time points, spaced at 3-monthly intervals. The final sample comprised 182 participants at T1, 91 at T2 and 75 at T3. Hierarchical linear multiple regression analyses were used to test all hypotheses.
    Results: The integration of a VH social identity was strongly associated with better psychological wellbeing at T1. Identity integration was also associated with static wellbeing scores at 6 months. Effects on wellbeing were not accounted for by either severity of voice-hearing or paranoia. Whilst perceptions of in-group empathy were associated with VH social identification, perceptions of outgroup empathy were important for identity integration.
    Conclusions: Integrating a VH social identity with other important identities into a coherent sense of self is important for wellbeing in voice hearers; perceived in-group and outgroup empathy are important in this process.
    Language English
    Publishing date 2023-11-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2063873-5
    ISSN 2044-8341 ; 1476-0835
    ISSN (online) 2044-8341
    ISSN 1476-0835
    DOI 10.1111/papt.12509
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  2. Article ; Online: Social psychological theory and research on the novel coronavirus disease (COVID-19) pandemic: Introduction to the rapid response special section.

    Smith, Laura G E / Gibson, Stephen

    The British journal of social psychology

    2020  Volume 59, Issue 3, Page(s) 571–583

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Health Behavior ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; Psychological Theory ; Psychology, Social ; Research ; SARS-CoV-2 ; Social Behavior ; Social Identification ; Social Norms
    Keywords covid19
    Language English
    Publishing date 2020-08-04
    Publishing country England
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 625325-8
    ISSN 2044-8309 ; 0144-6665
    ISSN (online) 2044-8309
    ISSN 0144-6665
    DOI 10.1111/bjso.12402
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  3. Article ; Online: Editorial.

    Gibson, Stephen / Smith, Laura G E

    The British journal of social psychology

    2019  Volume 59, Issue 1, Page(s) 1–3

    MeSH term(s) History, 20th Century ; Humans ; Periodicals as Topic/standards ; Psychology, Social/history ; Research Personnel/ethics ; Sexual Harassment/ethics
    Language English
    Publishing date 2019-12-19
    Publishing country England
    Document type Editorial ; Historical Article
    ZDB-ID 625325-8
    ISSN 2044-8309 ; 0144-6665
    ISSN (online) 2044-8309
    ISSN 0144-6665
    DOI 10.1111/bjso.12360
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  4. Article ; Online: Digital traces of offline mobilization.

    Smith, Laura G E / Piwek, Lukasz / Hinds, Joanne / Brown, Olivia / Chen, Cangxiong / Joinson, Adam

    Journal of personality and social psychology

    2023  Volume 125, Issue 3, Page(s) 496–518

    Abstract: Since 2009, there has been an increase in global protests and related online activity. Yet, it is unclear how and why online activity is related to the mobilization of offline collective action. One proposition is that online polarization (or a relative ... ...

    Abstract Since 2009, there has been an increase in global protests and related online activity. Yet, it is unclear how and why online activity is related to the mobilization of offline collective action. One proposition is that online polarization (or a relative change in intensity of posting mobilizing content around a salient grievance) can mobilize people offline. The identity-norm nexus and normative alignment models of collective action further argue that to be mobilizing, these posts need to be socially validated. To test these propositions, across two analyses, we used digital traces of online behavior and data science techniques to model people's online and offline behavior around a mass protest. In Study 1a, we used Twitter behavior posted on the day of the protest by attendees or nonattendees (759 users; 7,592 tweets) to train and test a classifier that predicted, with 80% accuracy, who participated in offline collective action. Attendees used their mobile devices to plan logistics and broadcast their presence at the protest. In Study 1b, using the longitudinal Twitter data and metadata of a subset of users from Study 1a (209 users; 277,556 tweets), we found that participation in the protest was not associated with an individual's online polarization over the year prior to the protest, but it was positively associated with the validation ("likes") they received on their relevant posts. These two studies demonstrate that rather than being low cost or trivial, socially validated online interactions about a grievance are actually key to the mobilization and enactment of collective action. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
    MeSH term(s) Humans ; Emotions ; Social Media
    Language English
    Publishing date 2023-02-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3103-3
    ISSN 1939-1315 ; 0022-3514
    ISSN (online) 1939-1315
    ISSN 0022-3514
    DOI 10.1037/pspa0000338
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  5. Article ; Online: The problem with the internet: An affordance-based approach for psychological research on networked technologies.

    Brown, Olivia / Smith, Laura G E / Davidson, Brittany I / Ellis, David A

    Acta psychologica

    2022  Volume 228, Page(s) 103650

    Abstract: The internet is often viewed as the source of a myriad of benefits and harms. However, there are problems with using this notion of "the internet" and other high-level concepts to explain the influence of communicating via everyday networked technologies ...

    Abstract The internet is often viewed as the source of a myriad of benefits and harms. However, there are problems with using this notion of "the internet" and other high-level concepts to explain the influence of communicating via everyday networked technologies on people and society. Here, we argue that research on social influence in computer-mediated communication (CMC) requires increased precision around how and why specific features of networked technologies interact with and impact psychological processes and outcomes. By reviewing research on the affordances of networked technologies, we demonstrate how the relationship between features of "the internet" and "online behaviour" can be determined by both the affordances of the environment and the psychology of the user and community. To achieve advances in this field, we argue that psychological science must provide nuanced and precise conceptualisations, operationalisations, and measurements of "internet use" and "online behaviour". We provide a template for how future research can become more systematic by examining how and why variables associated with the individual user, networked technologies, and the online community interact and intersect. If adopted, psychological science will be able to make more meaningful predictions about online and offline outcomes associated with communicating via networked technologies.
    MeSH term(s) Communication ; Concept Formation ; Data Collection ; Humans ; Internet ; Negotiating
    Language English
    Publishing date 2022-06-27
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1480049-4
    ISSN 1873-6297 ; 0001-6918
    ISSN (online) 1873-6297
    ISSN 0001-6918
    DOI 10.1016/j.actpsy.2022.103650
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  6. Article ; Online: Propagation of Parkinson's disease by extracellular vesicle production and secretion.

    Shippey, Laura E / Campbell, Susan G / Hill, Andrew F / Smith, David P

    Biochemical Society transactions

    2022  Volume 50, Issue 5, Page(s) 1303–1314

    Abstract: Parkinson's disease (PD) is a common neurodegenerative condition affecting a significant number of individuals globally, resulting in the presentation of debilitating motor and non-motor symptoms, including bradykinesia, resting tremor, as well as mood ... ...

    Abstract Parkinson's disease (PD) is a common neurodegenerative condition affecting a significant number of individuals globally, resulting in the presentation of debilitating motor and non-motor symptoms, including bradykinesia, resting tremor, as well as mood and sleep disorders. The pathology of PD has been observed to spread through the central nervous system resulting in progressive brain degeneration and a poor prognosis. Aggregated forms of the protein α-synuclein, particularly intermediary aggregates, referred to as oligomers, or preformed fibrils, have been implicated as the causative agent in the degeneration of neuronal processes, including the dysfunction of axonal transport, mitochondrial activity, and ultimately cellular death. Extracellular vesicles (EVs) have been strongly implicated in the propagation of PD pathology. Current observations suggest that aggregated α-synuclein is transported between neurons via small EVs in a series of exocytosis and endocytosis cellular processes leading to the observed spread of neurotoxicity and cellular death. Despite some understanding of the role of EVs in neurodegeneration, the exact mechanism by which these lipidic particles participate in the progression of Parkinson's pathology is not entirely understood. Here we review the current understanding of the role of EVs in the propagation of PD and explore their potential as a therapeutic target.
    MeSH term(s) Humans ; alpha-Synuclein/metabolism ; Parkinson Disease/metabolism ; Neurons/metabolism ; Neurodegenerative Diseases/metabolism ; Extracellular Vesicles/metabolism
    Chemical Substances alpha-Synuclein
    Language English
    Publishing date 2022-09-16
    Publishing country England
    Document type Review ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 184237-7
    ISSN 1470-8752 ; 0300-5127
    ISSN (online) 1470-8752
    ISSN 0300-5127
    DOI 10.1042/BST20220204
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  7. Article: Social psychological theory and research on the novel coronavirus disease (COVID-19) pandemic: Introduction to the rapid response special section

    Smith, Laura G E / Gibson, Stephen

    Br J Soc Psychol

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #637927
    Database COVID19

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  8. Article ; Online: Social psychological theory and research on the novel coronavirus disease (COVID‐19) pandemic

    Smith, Laura G. E. / Gibson, Stephen

    British Journal of Social Psychology

    Introduction to the rapid response special section

    2020  Volume 59, Issue 3, Page(s) 571–583

    Keywords Social Psychology ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 625325-8
    ISSN 2044-8309 ; 0144-6665
    ISSN (online) 2044-8309
    ISSN 0144-6665
    DOI 10.1111/bjso.12402
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: An Empirical Evaluation of Methodologies Used for Emotion Recognition via EEG Signals.

    Hinvest, Neal S / Ashwin, Chris / Carter, Felix / Hook, James / Smith, Laura G E / Stothart, George

    Social neuroscience

    2022  Volume 17, Issue 1, Page(s) 1–12

    Abstract: A goal of brain-computer-interface (BCI) research is to accurately classify participants' emotional status via objective measurements. While there has been a growth in EEG-BCI literature tackling this issue, there exist methodological limitations that ... ...

    Abstract A goal of brain-computer-interface (BCI) research is to accurately classify participants' emotional status via objective measurements. While there has been a growth in EEG-BCI literature tackling this issue, there exist methodological limitations that undermine its ability to reach conclusions. These include both the nature of the stimuli used to induce emotions and the steps used to process and analyze the data. To highlight and overcome these limitations we appraised whether previous literature using commonly used, widely available, datasets is purportedly classifying between emotions based on emotion-related signals of interest and/or non-emotional artifacts. Subsequently, we propose new methods based on empirically driven, scientifically rigorous, foundations. We close by providing guidance to any researcher involved or wanting to work within this dynamic research field.
    MeSH term(s) Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Emotions ; Humans
    Language English
    Publishing date 2022-01-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2234411-1
    ISSN 1747-0927 ; 1747-0919
    ISSN (online) 1747-0927
    ISSN 1747-0919
    DOI 10.1080/17470919.2022.2029558
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  10. Article ; Online: Cross-Border Antibiotic Resistance Patterns in Burn Patients.

    Dunbar, Chance / Santorelli, Jarrett E / Marshall, William A / Haines, Laura N / Box, Kevin / Lee, Jeanne G / Strait, Eli / Costantini, Todd W / Smith, Alan M / Doucet, Jay J / Berndtson, Allison E

    Surgical infections

    2023  Volume 24, Issue 4, Page(s) 327–334

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Humans ; Male ; United States ; Adult ; Female ; Retrospective Studies ; Hospitalization ; Length of Stay ; Drug Resistance, Microbial ; Anti-Infective Agents
    Chemical Substances Anti-Infective Agents
    Language English
    Publishing date 2023-04-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1440120-4
    ISSN 1557-8674 ; 1096-2964
    ISSN (online) 1557-8674
    ISSN 1096-2964
    DOI 10.1089/sur.2022.313
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