The Experts below are selected from a list of 190740 Experts worldwide ranked by ideXlab platform
Tobias Rothmund - One of the best experts on this subject based on the ideXlab platform.
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social identity threat motivates science discrediting online comments
PLOS ONE, 2015Co-Authors: Peter Nauroth, Mario Gollwitzer, Jens Bender, Tobias RothmundAbstract:Experiencing social identity threat from Scientific Findings can lead people to cognitively devalue the respective Findings. Three studies examined whether potentially threatening Scientific Findings motivate group members to take action against the respective Findings by publicly discrediting them on the Web. Results show that strongly (vs. weakly) identified group members (i.e., people who identified as “gamers”) were particularly likely to discredit social identity threatening Findings publicly (i.e., studies that found an effect of playing violent video games on aggression). A content analytical evaluation of online comments revealed that social identification specifically predicted critiques of the methodology employed in potentially threatening, but not in non-threatening research (Study 2). Furthermore, when participants were collectively (vs. self-) affirmed, identification did no longer predict discrediting posting behavior (Study 3). These Findings contribute to the understanding of the formation of online collective action and add to the burgeoning literature on the question why certain Scientific Findings sometimes face a broad public opposition.
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social identity threat motivates science discrediting online comments
PLOS ONE, 2015Co-Authors: Peter Nauroth, Mario Gollwitzer, Jens Bender, Tobias RothmundAbstract:Experiencing social identity threat from Scientific Findings can lead people to cognitively devalue the respective Findings. Three studies examined whether potentially threatening Scientific Findings motivate group members to take action against the respective Findings by publicly discrediting them on the Web. Results show that strongly (vs. weakly) identified group members (i.e., people who identified as “gamers”) were particularly likely to discredit social identity threatening Findings publicly (i.e., studies that found an effect of playing violent video games on aggression). A content analytical evaluation of online comments revealed that social identification specifically predicted critiques of the methodology employed in potentially threatening, but not in non-threatening research (Study 2). Furthermore, when participants were collectively (vs. self-) affirmed, identification did no longer predict discrediting posting behavior (Study 3). These Findings contribute to the understanding of the formation of online collective action and add to the burgeoning literature on the question why certain Scientific Findings sometimes face a broad public opposition.
Peter Nauroth - One of the best experts on this subject based on the ideXlab platform.
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social identity threat motivates science discrediting online comments
PLOS ONE, 2015Co-Authors: Peter Nauroth, Mario Gollwitzer, Jens Bender, Tobias RothmundAbstract:Experiencing social identity threat from Scientific Findings can lead people to cognitively devalue the respective Findings. Three studies examined whether potentially threatening Scientific Findings motivate group members to take action against the respective Findings by publicly discrediting them on the Web. Results show that strongly (vs. weakly) identified group members (i.e., people who identified as “gamers”) were particularly likely to discredit social identity threatening Findings publicly (i.e., studies that found an effect of playing violent video games on aggression). A content analytical evaluation of online comments revealed that social identification specifically predicted critiques of the methodology employed in potentially threatening, but not in non-threatening research (Study 2). Furthermore, when participants were collectively (vs. self-) affirmed, identification did no longer predict discrediting posting behavior (Study 3). These Findings contribute to the understanding of the formation of online collective action and add to the burgeoning literature on the question why certain Scientific Findings sometimes face a broad public opposition.
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social identity threat motivates science discrediting online comments
PLOS ONE, 2015Co-Authors: Peter Nauroth, Mario Gollwitzer, Jens Bender, Tobias RothmundAbstract:Experiencing social identity threat from Scientific Findings can lead people to cognitively devalue the respective Findings. Three studies examined whether potentially threatening Scientific Findings motivate group members to take action against the respective Findings by publicly discrediting them on the Web. Results show that strongly (vs. weakly) identified group members (i.e., people who identified as “gamers”) were particularly likely to discredit social identity threatening Findings publicly (i.e., studies that found an effect of playing violent video games on aggression). A content analytical evaluation of online comments revealed that social identification specifically predicted critiques of the methodology employed in potentially threatening, but not in non-threatening research (Study 2). Furthermore, when participants were collectively (vs. self-) affirmed, identification did no longer predict discrediting posting behavior (Study 3). These Findings contribute to the understanding of the formation of online collective action and add to the burgeoning literature on the question why certain Scientific Findings sometimes face a broad public opposition.
Jens Bender - One of the best experts on this subject based on the ideXlab platform.
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social identity threat motivates science discrediting online comments
PLOS ONE, 2015Co-Authors: Peter Nauroth, Mario Gollwitzer, Jens Bender, Tobias RothmundAbstract:Experiencing social identity threat from Scientific Findings can lead people to cognitively devalue the respective Findings. Three studies examined whether potentially threatening Scientific Findings motivate group members to take action against the respective Findings by publicly discrediting them on the Web. Results show that strongly (vs. weakly) identified group members (i.e., people who identified as “gamers”) were particularly likely to discredit social identity threatening Findings publicly (i.e., studies that found an effect of playing violent video games on aggression). A content analytical evaluation of online comments revealed that social identification specifically predicted critiques of the methodology employed in potentially threatening, but not in non-threatening research (Study 2). Furthermore, when participants were collectively (vs. self-) affirmed, identification did no longer predict discrediting posting behavior (Study 3). These Findings contribute to the understanding of the formation of online collective action and add to the burgeoning literature on the question why certain Scientific Findings sometimes face a broad public opposition.
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social identity threat motivates science discrediting online comments
PLOS ONE, 2015Co-Authors: Peter Nauroth, Mario Gollwitzer, Jens Bender, Tobias RothmundAbstract:Experiencing social identity threat from Scientific Findings can lead people to cognitively devalue the respective Findings. Three studies examined whether potentially threatening Scientific Findings motivate group members to take action against the respective Findings by publicly discrediting them on the Web. Results show that strongly (vs. weakly) identified group members (i.e., people who identified as “gamers”) were particularly likely to discredit social identity threatening Findings publicly (i.e., studies that found an effect of playing violent video games on aggression). A content analytical evaluation of online comments revealed that social identification specifically predicted critiques of the methodology employed in potentially threatening, but not in non-threatening research (Study 2). Furthermore, when participants were collectively (vs. self-) affirmed, identification did no longer predict discrediting posting behavior (Study 3). These Findings contribute to the understanding of the formation of online collective action and add to the burgeoning literature on the question why certain Scientific Findings sometimes face a broad public opposition.
Mario Gollwitzer - One of the best experts on this subject based on the ideXlab platform.
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social identity threat motivates science discrediting online comments
PLOS ONE, 2015Co-Authors: Peter Nauroth, Mario Gollwitzer, Jens Bender, Tobias RothmundAbstract:Experiencing social identity threat from Scientific Findings can lead people to cognitively devalue the respective Findings. Three studies examined whether potentially threatening Scientific Findings motivate group members to take action against the respective Findings by publicly discrediting them on the Web. Results show that strongly (vs. weakly) identified group members (i.e., people who identified as “gamers”) were particularly likely to discredit social identity threatening Findings publicly (i.e., studies that found an effect of playing violent video games on aggression). A content analytical evaluation of online comments revealed that social identification specifically predicted critiques of the methodology employed in potentially threatening, but not in non-threatening research (Study 2). Furthermore, when participants were collectively (vs. self-) affirmed, identification did no longer predict discrediting posting behavior (Study 3). These Findings contribute to the understanding of the formation of online collective action and add to the burgeoning literature on the question why certain Scientific Findings sometimes face a broad public opposition.
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social identity threat motivates science discrediting online comments
PLOS ONE, 2015Co-Authors: Peter Nauroth, Mario Gollwitzer, Jens Bender, Tobias RothmundAbstract:Experiencing social identity threat from Scientific Findings can lead people to cognitively devalue the respective Findings. Three studies examined whether potentially threatening Scientific Findings motivate group members to take action against the respective Findings by publicly discrediting them on the Web. Results show that strongly (vs. weakly) identified group members (i.e., people who identified as “gamers”) were particularly likely to discredit social identity threatening Findings publicly (i.e., studies that found an effect of playing violent video games on aggression). A content analytical evaluation of online comments revealed that social identification specifically predicted critiques of the methodology employed in potentially threatening, but not in non-threatening research (Study 2). Furthermore, when participants were collectively (vs. self-) affirmed, identification did no longer predict discrediting posting behavior (Study 3). These Findings contribute to the understanding of the formation of online collective action and add to the burgeoning literature on the question why certain Scientific Findings sometimes face a broad public opposition.
Markus Steen - One of the best experts on this subject based on the ideXlab platform.
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green growth a synthesis of Scientific Findings
Technological Forecasting and Social Change, 2019Co-Authors: Marco Capasso, Teis Hansen, Jonas Heiberg, Antje Klitkou, Markus SteenAbstract:Governments in countries across the world increasingly adopt the “green growth” discourse to underline their ambition for the greening of their economies. The central tenet of this narrative is the economic opportunities rather than challenges arising from the pursuit of environmental sustainability. Our paper synthesises insights from 113 recent Scientific articles, dealing with both environmental issues and economic growth, as well as innovation. Our ambition is exploratory in attempting to take stock of heterogeneous contributions across the spectrum of social science. The articles have been reviewed with a focus on six themes, derived from current discussions in economic geography and transition studies: skills, technology, physical resources, markets, institutions and policies. Four major implications emerge from the review. First, green growth requires competences that allow for handling complex, non-routine situations – in both the private and the public sector. Second, technological progress should be directed towards greener technologies, to avoid investments funds being channelled to brown technologies for short-term returns. Third, our knowledge of the opportunities for achieving green growth must base upon a joint assessment of market failures, structural system failures and transformational system failures. Finally, greater attention should be devoted to the geography of green growth processes at different scales. (Less)
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Green growth – a synthesis of Scientific Findings
Technological Forecasting and Social Change, 2019Co-Authors: Marco Capasso, Teis Hansen, Jonas Heiberg, Antje Klitkou, Markus SteenAbstract:Governments in countries across the world increasingly adopt the “green growth” discourse to underline their ambition for the greening of their economies. The central tenet of this narrative is the economic opportunities rather than challenges arising from the pursuit of environmental sustainability. Our paper synthesises insights from 113 recent Scientific articles, dealing with both environmental issues and economic growth, as well as innovation. Our ambition is exploratory in attempting to take stock of heterogeneous contributions across the spectrum of social science. The articles have been reviewed with a focus on six themes, derived from current discussions in economic geography and transition studies: skills, technology, physical resources, markets, institutions and policies. Four major implications emerge from the review. First, green growth requires competences that allow for handling complex, non-routine situations – in both the private and the public sector. Second, technological progress should be directed towards greener technologies, to avoid investments funds being channelled to brown technologies for short-term returns. Third, our knowledge of the opportunities for achieving green growth must base upon a joint assessment of market failures, structural system failures and transformational system failures. Finally, greater attention should be devoted to the geography of green growth processes at different scales. (Less)
