Megjelent publikációk:
Willingness of Participation in an Application Based Digital Data Collection among Different Social Groups and Smartphone User Clusters
Ákos Máté, Zsófia Rakovics, Szilvia Rudas, Levente Wallis, Bence Ságvári, Ákos Huszár, Júlia Koltai
https://doi.org/10.3390/s23094571
The main question of this article is what factors influence willingness to participate in a smartphone application-based data collection where participants both fill out a questionnaire and let the app collect data about their smartphone use. Passive digital data collection is becoming more common, but it is still a new form of data collection. Due to the novelty factor, it is important to investigate how willingness to participate in such studies is influenced by both socio-economic variables and smartphone usage patterns. We estimate multilevel models based on a survey experiment with vignettes for different characteristics of data collection (e.g. different incentives, duration of the study). Our results show that of the socio-demographic variables, age has the largest effect, with younger age groups having a higher willingness to participate than older ones. Similarly, smartphone use also has an effect on participation, with advanced users more likely to participate than the social media user group. We also found that users who only use the basic functions of their device are less likely to participate. Finally, the interaction terms between levels showed that the circumstances of data collection matter differently for different social groups. These results provide important guidance on how to fine-tune circumstances to improve participation rates in this novel passive digital data collection.
Determinants of willingness to donate data from social media platforms
Zoltán Kmetty, Ádám Stefkovics, Júlia Számely, Dongning Deng, Anikó Kellner, Edit Pauló, Elisa Omodei, Júlia Koltai
https://doi.org/10.1080/1369118X.2024.2340995
Social media data donation through data download packages (DDPs) is a promising new way of collecting individual-level digital trace data with informed consent. When linked with survey data, data donation is an even more promising tool that helps answer novel research questions. Nevertheless, given the novelty of this approach, little is known about whether and how people would share their data with researchers, although this could seriously affect selection bias and thus, the outer validity of the results. To study the determinants of data-sharing and help future data donation studies with detecting the conditions, under which the willingness is the highest, we pre-registered two vignette experiments and embedded them in two online surveys conducted in Hungary and the U.S. In hypothetical requests for donating social media data via DDPs, we manipulated the amount of the monetary incentives (1), the presence or lack of non-monetary incentives (2), the number of requested platforms (3), the estimated upload/download time (4), and the type of requested data (5). The results revealed that data-sharing attitude is strongly subject to the parameters of the actual study, how the request is framed, and some respondent characteristics. Monetary incentives increased willingness to participate in both countries, while other effects were not consistent between the two countries. Non-monetary incentives and time to download/upload data influenced willingness in the U.S. sample but not in the Hungarian one, whereas the type of data affected the willingness to participate only in the case of the Hungarian respondents. Our findings help design more effective future data donation requests and provide insights into the potential patterns of selection bias in data donation studies.
Keywords: data donation, DDP, data-sharing, digital trace data, linking survey data
Folyamatban lévő cikkek:
Cross-over social processes from real life to digital realms - Exploring gender differences and inequalities in digital trust
Koltai Júlia, Fodor Éva, Rakovics Zsófia, Rudas Szilvia
We explore how gender mediates the link between being trusting offline, in the “real world” and online, in the “digital world” to initiate a conversation on two areas: 1) the cross-over social processes from real to digital; and 2) gender differences and gender inequalities in digital trust and its conditionalities.
Digital Behavioral Patterns of Social Classes First Results of an Innovative Donation Based Digital Data Collection
Ákos Huszár - Zsófia Rakovics - Kata Számel - Szilvia Rudas - Bendegúz Váradi – Borbála Ungvári - Gergely Agócs - Júlia Koltai
Our paper aims to investigate the influence of social class on individuals' digital behavior in Hungary. Specifically, we will analyze the differences in observed behavior on Facebook among different social classes using innovative data collection methods.
Prestige-based occupational homophily and societal openness
Sandeep Chowdhary, Dongning Deng, Federico Battiston, and Julia Koltai
Homophily is the tendency of individuals to associate with others who are similar to them in some way, such as sharing similar backgrounds, interests, values, or demographic characteristics. Occupational homophily in families, in particular, refers to the inclination to choose careers that are similar to those of their parents or other family members. Research has shown that homophily of occupations within families is a common phenomenon. For example, studies have found that children of doctors are more likely to become doctors themselves, and that the children of lawyers are more likely to enter the legal profession. This phenomenon can have a significant impact on societal openness, particularly within families. In this work, we quantify occupational prestige homophily and its impact on societal openness, particularly within families. We utilized the Position Generator dataset (International Social Survey Programme 2017) to construct occupational networks in 30 countries . While the structure of occupational networks varied among countries, low prestige occupations were consistently segregated. Furthermore, highly developed countries were found to exhibit greater prestige-based segregation within families, suggesting a less open social structure. The results suggest that developing countries are more open to diverse career paths within families, while developed countries are less open. Taken together, our work sheds light on the complex relationship between occupations, social networks, societal development, and societal openness.
Keywords: homophily, occupations, networks, prestige, position generator
Konferenciák:
2022
Social Differences in Willingness of Participation in Donation Based Data Collection.
Presentation at the Conference on Complex Systems 2022, Palma de Mallorca, Spain. (co-authors: Zoltán Kmetty)
2023
Social Structure and Inequalities Through the Lens of Digital Data.
Presentation at the Budapest Winter Workshop organized by the Center for Collective Learning & ANET & NETI Lab. Corvinus University and HUN-REN, Budapest, Hungary.
Deadly serious: The effect of the belief in conspiracy theories on anti-vaccination in Hungary and the moderating role of experience.
Presentation as an invited speaker at the workshop 'From Stigmatized to Canonized Knowledge? Exploring Top-Down Conspiracy Theories in Central Eastern Europe and Beyond', Central European University, Budapest, Hungary. (co-authors: Ádám Stefkovics and Péter Krekó)
A társadalomtudományok helyzete és lehetőségei – módszertani kihívások és esélyek a digitális változások kontextusában. esélyek a digitális változások kontextusában [The state and opportunities of the social sciences - methodological challenges and opportunities in the context of digital change].
Invited participant in a roundtable discussion at the 13th Sociology Days of the Babes-Bolyai University - between the challenges of continuous change and adaptation in our societies. Babes-Bolyai University, Cluj-Napoca, Romania. Bolyai University.
Az összeesküvéses hiedelmek hatása az oltási hajlandóságra a tapasztalatok hatásának tükrében [The impact of conspiracy beliefs on vaccination uptake in the light of the impact of experience].
Presentation at the XXXth National Scientific Assembly of the Hungarian Psychological Society, Pécs, Hungary. (co-authors: Ádám Stefkovics and Péter Krekó)
2024
Társadalmi struktúra és egyenlőtlenség a digitális adatok tükrében.
Koltai Júlia (keynote presentation)
VII. Változó világ, változó társadalom konferencia. ELTE Pedagógiai és Pszichológiai Kar, Budapest, Magyarország.
Digital Behavioral Patterns of Social Classes First Results of an Innovative Donation Based Digital Data Collection
Ákos Huszár, Zsófia Rakovics, , Kata Számel, Szilvia Rudas, Borbála Zoé Ungvári, Bendegúz Váradi, Julia Koltai
International Sociological Association, Research Committee 28 (Structure and Inequality) Annual Summer Meeting 2024. Brown University, Providence, Rhode Island, USA.
Digital Behavioral Patterns of Social Classes.
Julia Koltai, Zsófia Rakovics, Ákos Huszár, Kata Számel, Szilvia Rudas, Borbála Zoé Ungvári, Bendegúz Váradi
International Conference on Computational Social Science 2024. University of Pennsylvania, Philadelphia, USA.