Suchergebnisse

Dies ist eine Rezension über das Buch "Book of Anonymity" herausgegeben vom Anon Collective, erschienen bei punctum books, 2021, 484 Seiten, ISBN: 9781953035301.

Source criticism is an epistemological practice in social and cultural studies that is crucial for specifying the range and scope of the findings, or in other words their validity and reliability. In the context of big data, source criticism is not yet established in the fashion as it is known in other areas of social and cultural research. Currently emerging discussions in historical research emphasize the relevance of source criticism of digital objects or data. In the context of these discussions, this contribution suggests exploring the potentials of source criticism for platform logics. We focus on big data sourced from the internet. Nevertheless our results aim to be transferrable to other sources of big data. The inclusion of source criticism into big data analysis may in turn foster the integration of data-driven analyses into social and cultural studies research approaches. For an integration of source criticism, the paper proposes source critical analyses of information systems, in particular internet platforms, in big data analysis with regard to a) types of big data platforms, b) researchers as data makers, and c) mixed realities of platform usage practices. In analogy to source repertoires (Quellentypen) it suggests to classify internet platforms as providers of particular types of big data sources depending on their infrastructural materiality and ontologies for tracing the key issues of (external) source criticism: provenance, authenticity, and integrity.

This perspective article suggests considering the everyday research data management work required to accomplish social media research along different phases in a data lifecycle to inform the ongoing discussion of social media research data's quality and validity. Our perspective is informed by practical experience of archiving social media data, by results from a series of qualitative interviews with social media researchers, as well as by recent literature in the field. We emphasize how social media researchers are entangled in complexities between social media platform providers, social media users, other actors, as well as legal and ethical frameworks, that all affect their everyday research practices. Research design decisions are made iteratively at different stages, involving many decisions that may potentially impact the quality of research. We show that these decisions are often hidden, but that making them visible allows us to better understand what drives social media research into specific directions. Consequently, we argue that untangling and documenting choices during the research lifecycle, especially when researchers pursue specific approaches and may have actively decided against others (often due to external factors) is necessary and will help to spot and address structural challenges in the social media research ecosystem that go beyond critiques of individual opportunistic approaches to easily accessible data.

Online privacy research considers the determinants, dimensions, and consequences of information disclosure on the internet. In this endeavor, researchers often are interested in uncovering personal and potentially sensitive details about media use and (privacy-related) attitudes and behavior. This focus raises a number of ethical questions that researchers need to address. Ethical questions relate to issues of data protection, but also to other topics, such as the role of study participants. Digital trace data have become increasingly popular in the social and behavioral sciences in recent years and constitute a promising resource for online privacy research. While digital trace data come with their own set of challenges that may increase specific ethical concerns, they also hold the potential for innovation in research design, for the involvement of study participants, and for more research transparency. In this chapter, we discuss ethical challenges in online privacy research, with a particular focus on the role of participants, and illustrate how digital trace data – and their combination with other types of data – can be used to find and develop novel approaches for online privacy research that also consider key ethical questions.

The ubiquity of digital devices and the increasing intensity of users' interactions with them create vast amounts of digital trace data. Companies use these data to optimize their services or products, but these data are also of interest to researchers studying human behavior. As most of these data are owned by private companies and their collection requires adherence to their terms of service, research with digital trace data often entails some form of public-private partnership. Private companies and academic researchers each have their own interests, some of which are shared, while others may conflict. In this article, we explore different types of private-public partnerships for research with digital trace data. Based on general considerations and particular experiences from a research project with linked digital trace data, we propose strategies for identifying and productively negotiating both shared and conflicting interests in these relationships.

Introduction / Michael Zimmer & Katharina Kinder-Kurlanda -- Internet research ethics : twenty years later / Elizabeth Buchanan -- Challenges -- Recasting justice for internet and online industry research ethics / Anna Lauren Hoffmann & Anne Jonas -- A feminist perspective on ethical digital methods / M.E. Luka, Mélanie Millette & Jacqueline Wallace -- Sorting things out ethically : privacy as a research issue beyond the individual / Tobias Matzner & Carsten Ochs -- Chasing isis : network power, distributed ethics and responsible social media research / Jonathon Hutchinson, Fiona Martin & Aim Sinpeng -- Lost umbrellas : bias and the right to be forgotten in social media research / Rebekah Tromble & Daniela Stockmann -- Bad judgment, bad ethics? validity in computational social media / Cornelius Puschmann -- To share or not to share : ethical challenges in sharing social media-based research data / Katrin Weller & Katharina Kinder-Kurlanda -- "We tend to err on the side of caution" : ethical challenges facing canadian research ethics boards when overseeing internet research / Yukari Seko & Stephen P. Lewis -- Internet research ethics in a non-western context / Soraj Hongladarom -- Cases -- Living labs : an ethical challenge for researchers and platform providers / Philipp Schaer -- Ethics of using online commercial crowdsourcing sites for academic research : the case of amazon's mechanical turk / Matthew Pittman & Kim Sheehan -- Museum ethnography in the digital age : ethical considerations / Natalia Grincheva -- Participant anonymity and participant observations : situating the researcher within digital ethnography / James Robson -- The social age of "it's not a private problem" : case study of ethical and privacy concerns in a digital ethnography of south asian blogs against intimate partner violence / Ishani Mukherjee -- Studying closed communities on-line : digital methods and ethical considerations beyond informed consent and anonymity / Ylva Hard af Segerstad, Christine Howes, Dick Kasperowsk & Christopher Kullenberg -- An ethical inquiry about youth suicide prevention using social media mining / Amaia Eskisabel Azpiazu, Rebeca Cerezo-Menéndez & Daniel Gayo-Avello -- Death, affect and the ethical challenges of outing a griefsquatter / Lisbeth Klastrup -- Locating locational data in mobile and social media / Lee Humphreys -- How does it feel to be visualized? : redistributing ethics / David Moats & Jess Perriam -- Contexts -- Negotiating consent, compensation, and privacy in internet research : patientslikeme.com as a case study / Robert Douglas Ferguson -- The ethics of using hacked data : patreon's data hack and academic data standards / Nathaniel Poor -- The ethics of sensory ethnography : virtual reality fieldwork in zones of conflict / Jeff Shuter & Ben Burroughs -- Images of faces gleaned from social media in social psychological research on sexual orientation / Patrick Sweeney -- Twitter research in the disaster context ¿ ethical concerns for working with historical datasets -- Martina wengenmeir -- Epilogue: internet research ethics for the social age / Katharina Kinder-Kurlanda & Michael Zimmer -- Contributor -- Biographies

Dieser Artikel erzählt die Entstehungs- und Entwicklungsgeschichte des 2000 gegründeten Open Access-Journals aus Sicht von vier Herausgeber:innen, die die Arbeit und den Inhalt der Zeitschrift mitgeprägt haben. Dieser Artikel ist zuerst in dem Sammelband "Widerständigkeiten des Alltags" (Hamm, Holfelder, Ritter, Schwell & Sutter, 2019) aus Anlass des 60. Geburtstages von Klaus Schönberger erschienen, einem der beiden Gründer und Herausgeber von kommunikation@gesellschaft. Wir danken den Herausgebern für die Erlaubnis des Wiederabdrucks des Textes zum 20-jährigen Jubiläum des Journals und anlässlich des Relaunches auf einer OJS-Plattform.

Dieser Artikel erzählt die Entstehungs- und Entwicklungsgeschichte des 2000 gegründeten Open Access-Journals aus Sicht von vier Herausgeber:innen, die die Arbeit und den Inhalt der Zeitschrift mitgeprägt haben. Dieser Artikel ist zuerst in dem Sammelband "Widerständigkeiten des Alltags" (Hamm, Holfelder, Ritter, Schwell & Sutter, 2019) aus Anlass des 60. Geburtstages von Klaus Schönberger erschienen, einem der beiden Gründer und Herausgeber von kommunikation@gesellschaft.

Sharing social media research datasets allows for reproducibility and peer-review, but it is very often difficult or even impossible to achieve due to legal restrictions and can also be ethically questionable. What is more, research data repositories and other research infrastructure and research support institutions are only starting to target social media researchers. In this paper, we present a practical solution to sharing social media data with the help of a social science data archive. Our aim is to contribute to the effort of enhancing comparability and reproducibility in social media research by taking some first steps towards setting standards for sustainable data archiving. We present a showcase for sharing social media data with the example of a big dataset containing geotagged tweets (several months of continued geotagged tweets from the United States from 2014 and 2015; nearly half a billion tweets in total) through a research data archive. We provide a general background to the process of long-term archiving of research data. After some consideration of the current obstacles for sharing and archiving social media data, we present our solution of archiving the specific dataset of geotagged tweets at the GESIS Data Archive for the Social Sciences, a publicly funded German data archive for secure and long-term archiving of social science data. We archived and documented tweet IDs and additional information to improve reproducibility of the initial research while also attending to ethical and legal considerations, and taking into account Twitter's terms of service in particular.

"More and more researchers want to share research data collected from social media to allow for reproducibility and comparability of results. With this paper we want to encourage them to pursue this aim - despite initial obstacles that they may face. Sharing can occur in various, more or less formal ways. We provide background information that allows researchers to make a decision about whether, how and where to share depending on their specific situation (data, platform, targeted user group, research topic etc.). Ethical, legal and methodological considerations are important for making this decision. Based on these three dimensions we develop a framework for social media sharing that can act as a first set of guidelines to help social media researchers make practical decisions for their own projects. In the long run, different stakeholders should join forces to enable better practices for data sharing for social media researchers. This paper is intended as our call to action for the broader research community to advance current practices of data sharing in the future." (author's abstract)