The Qualitative Face of Big Data

The technological possibilities for new data sources in media psychology, such as online live recordings, called Live Streaming, are growing continuously. These sources do not only offer plentiful quantitative material but also a fairly new access to ecologically valid and unobtrusive observation o...

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Main Author: Alexander Nicolai Wendt
Format: Article
Language:English
Published: University Library Heidelberg 2020-12-01
Series:Journal of Dynamic Decision Making
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Online Access:https://journals.ub.uni-heidelberg.de/index.php/jddm/article/view/69769
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author Alexander Nicolai Wendt
author_facet Alexander Nicolai Wendt
author_sort Alexander Nicolai Wendt
collection DOAJ
description The technological possibilities for new data sources in media psychology, such as online live recordings, called Live Streaming, are growing continuously. These sources do not only offer plentiful quantitative material but also a fairly new access to ecologically valid and unobtrusive observation of problem-solving and decision-making processes. However, to exploit these potentials, epistemological and methodological reflection should guide research. The availability of Big Data and naturally occurring data sets (NODS) allows to revise the historical controversies on the eligibility of self-description. Drawing on such reflections, media psychology can contribute to renovate well established research methods, such as think aloud protocols, in order to enhance their empirical claims. Apart from other confident attempts to improve these methods, phenomenology and ethnomethodology offer a fruitful account to develop innovative data sources for self-description. Yet, this approach does not support a recurrence of self-description’s previous application but proposes an epistemological shift towards more subtle observations. In order to convey the potentials of media psychology, the risk of repeating classical mistakes, such as introspectionism, have to be regarded. Beyond these fallacies, however, modern digital technology holds encouraging potentials which have already partly been sighted by video gaming research. Due to the similarity of digital environments to laboratory setups, there remains to be a continuity from offline to online research, from traditional data to Big Data. Nevertheless, a true advance into new possibilities requires understanding the qualitative meaning of such data.
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spelling doaj-art-fb6bf7b57fda4aab87f532dcf43222942025-08-22T09:13:57ZengUniversity Library HeidelbergJournal of Dynamic Decision Making2365-80372020-12-016110.11588/jddm.2020.1.69769The Qualitative Face of Big DataAlexander Nicolai Wendt0Ruprecht-Karls Universität Heidelberg The technological possibilities for new data sources in media psychology, such as online live recordings, called Live Streaming, are growing continuously. These sources do not only offer plentiful quantitative material but also a fairly new access to ecologically valid and unobtrusive observation of problem-solving and decision-making processes. However, to exploit these potentials, epistemological and methodological reflection should guide research. The availability of Big Data and naturally occurring data sets (NODS) allows to revise the historical controversies on the eligibility of self-description. Drawing on such reflections, media psychology can contribute to renovate well established research methods, such as think aloud protocols, in order to enhance their empirical claims. Apart from other confident attempts to improve these methods, phenomenology and ethnomethodology offer a fruitful account to develop innovative data sources for self-description. Yet, this approach does not support a recurrence of self-description’s previous application but proposes an epistemological shift towards more subtle observations. In order to convey the potentials of media psychology, the risk of repeating classical mistakes, such as introspectionism, have to be regarded. Beyond these fallacies, however, modern digital technology holds encouraging potentials which have already partly been sighted by video gaming research. Due to the similarity of digital environments to laboratory setups, there remains to be a continuity from offline to online research, from traditional data to Big Data. Nevertheless, a true advance into new possibilities requires understanding the qualitative meaning of such data. https://journals.ub.uni-heidelberg.de/index.php/jddm/article/view/69769Live StreamingphenomenologyethnomethodologyBig Datadecision-making
spellingShingle Alexander Nicolai Wendt
The Qualitative Face of Big Data
Journal of Dynamic Decision Making
Live Streaming
phenomenology
ethnomethodology
Big Data
decision-making
title The Qualitative Face of Big Data
title_full The Qualitative Face of Big Data
title_fullStr The Qualitative Face of Big Data
title_full_unstemmed The Qualitative Face of Big Data
title_short The Qualitative Face of Big Data
title_sort qualitative face of big data
topic Live Streaming
phenomenology
ethnomethodology
Big Data
decision-making
url https://journals.ub.uni-heidelberg.de/index.php/jddm/article/view/69769
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