From quantitative measurement to understanding public demand
Exploring non-survey methods in applied regional research
Bibliographic Data
| ID | 19585804 |
|---|---|
| Authors | Kirill Petrov (0000-0001-9136-2717, Moscow State Institute of International Relations), Евгений Николаевич Минченко (0000-0003-1755-2162, Moscow State Institute of International Relations), V S Lapin (0009-0002-1778-2267), Владимир Лапин (Moscow State Institute of International Relations) |
| Year | 2023 |
| Volume | 6 |
| Issue | 3 |
| Pages | 21-33 |
| Publication date | 2023-10-07 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Digital sociology (JOURNAL) |
| Journal identifiers | ISSN: 2658-347X • E-ISSN: 2713-1653 |
| Publisher | State University of Management (PUBLISHER) |
| DOI | 10.26425/2658-347x-2023-6-3-21-33 |
| OpenAlex | W4387497718 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
The article builds on the well-developed problem of studying trust in society towards social institutions, as well as between individuals. Currently, contact quantitative sociology faces a number of challenges, and the level of consent to participate in surveys is steadily falling. In order to reliably assess public opinion, non-contact tools for studying the digital environment are already required. The application of non-survey techniques for collecting big data using a pre-formed thesaurus allows us to select data for analysis and circumvent the problems associated with respondent recruitment. The application of SML approach to analyze digital publications of Russian-speaking users from Novosibirsk (more than 450 thousand publications) collected in 2020 has been considered. The combination of quantitative and qualitative methods allowed us to describe the audience and categorize the areas of public distrust and dissatisfaction. The application of this approach can be useful for managerial tasks aimed at increasing trust in society. Thus, the study is a valuable contribution to the development of modern sociology and its applied aspects
Business · Categorization · Data science · Distrust · Management science · Political science · Public opinion · Public relations · Respondent · Sociology · Computational and Text Analysis Methods · Computer Science · Engineering · Law · Social and Behavioral Studies · Sociopolitical Dynamics in Russia · Artificial Intelligence
Affect- And Cognition-Based Trust as Foundations for Interpersonal Cooperation in Organizations.
Democracy and the Market
Trust in the Age of Digital Transformations
Thick Big Data
Counter-Democracy
Making Democracy Work
Exit, Voice, and the State
Economic Action and Social Structure
How low can we go? Declining survey response rates to new zealand electoral roll mail surveys over three decades
An Evaluation of the 2016 Election Polls in the United States
Social Media in Public Opinion Research
John Rawls' Theory of Justice
Understanding the 2016 US Presidential Polls
The Strength of Weak Ties (translated by Zoya Kotelnikova)
The Social Control of Impersonal Trust
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |