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  • New ways in exporting Society: The potential of donation.based digital data collection
    6-26.
    Views:
    64

    More and more digital data is being generated every day, and more and more social science
    analyses are using Twitter, Instagram, or Facebook data. Many international and national studies
    have already explored the social science opportunities and dilemmas raised by the phenomenon
    of ‚big data’ - but the issue of ‚access to data’ has only been touched upon tangentially. And
    access to data is becoming increasingly difficult. What can we do if market players close the
    access to their data, and, if we find data available, the Research Ethics Board tells us to stop? The
    answer is simple: go to the users and ask them for the data. This approach is what the literature
    calls data donation. This paper will describe the data donation approach in detail, focusing on
    how researchers can access data through users on the current major Western platforms. The
    practical feasibility of data donation access will be illustrated based on a domestic pilot study.

  • Community resilience and social support relationships – An analytical approach and research results based on long-term series analysis of communities affected by the red sludge disaster
    6-31
    Views:
    67

    vOne of the most serious consequences of disasters is the disruption or even the loss of social
    support relationships. Hence, this paper analyses the social support relationships in the
    framework of community resilience based on face-to-face interviews with direct (180 people)
    and indirect (180 people) victims of the red sludge disaster, using data for 2013 and 2020.
    (Hungary, Devecser district).
    The focus was analysed according to four types of social support relationship: reciprocal,
    donor to recipient and incomplete/disintegrated. At the time of the disaster, we identified a high
    level of support activity and a strong reciprocal-donor type of aid model. In contrast, in 2013, we
    found an incomplete/disintegrated - reciprocal model with low support activity, and in 2020, a
    reciprocal- incomplete/disintegrated model with medium activity.
    Based on a detailed statistical analysis of different social support types among the red
    sludge disaster’s victims the paper explores and presents the social support activities and
    their various patterns with respect to their roles in the resilience of communities. The different
    patterns of social supports relationships that emerged in each period examined varied widely,
    though – with different intensity – they were primarily influenced by the fact how people were
    affected by disaster’s damages (directly and indirectly). Nevertheless, by 2020, other factors,
    such as residence, age, and economic activity had already an equally strong impact on different
    types of social support relationships as the affectedness by the disaster of 2010. We found that
    communities responded to the red sludge disaster in 2010 and to the Covid-19 epidemic in 2020
    in a reactive way by activating their social support relationship.