In this paper we examine the characteristics of comments on Facebook pages of the most visited news portals in Slovenia in the period from 2010 to 2017. The analysis is based on a combination of big data (data created on the basis of mass data scraping of Facebook pages) and survey evaluations for ten thousand comments conducted by 30 annotators. We focus on socially unacceptable discourse (SUD) within two topics that were dividing public at the given time, namely the refugee crisis and the rights of LGBT people. The results show that the share of comments expressing SUD is high and stable - on both topics and on all three selected media around half of all comments are SUD. Surprisingly small differences in the internal structure and characteristics of this type of commenting were found between news portals, but there was more variation in the scope and the type of SUD. However, it is not possible to confirm the presence of organized or interrelated comment campaigns. The results are offering one of the first insights in the characteristics of the commentary environment in Slovenia, the time dimensions of commenting and the correlations between commentators.
COBISS.SI-ID: 22060035
In the article, the authors present the results of a systematic review of survey scales for measuring information privacy concern. Information privacy concerns can be understood as individual’s views about the possible loss of privacy when submitting personal information. Although the theme of information privacy is often addressed in the literature, there are no studies to date that would conduct a comprehensive review and comparison of survey scales for measuring information privacy concerns. The published article therefore presents the first analysis in which the authors addressed these issues by the method of a systematic review. In the study, they identified 13 articles in which 16 different survey scales for measuring information privacy concerns were developed. By reviewing the conceptualizations of the measured construct, the contexts for which the scales were developed, the included dimensions, and the evaluation of the quality of the methodological procedures used in the scale development process, the authors provide a comprehensive description of survey scales for measuring information privacy concerns. The results show that there is no common understanding of the measured construct and that scale developers often pay little attention to ensuring content validity. Based on the results, the article highlights areas that demand further attention and provides recommendations for the users of existing information privacy concern survey scales.
COBISS.SI-ID: 61630211
Meta-analytic techniques have become the standard methods for aggregating the results from thematically related studies in the behavioral, health, and economic sciences. The primary objective of the systematic review was to identify metaanalyses, which were previously conducted in survey methodology and classify them according to the thematic areas that they addressed. The findings are based on a systematic search of two bibliographic harvesters (together covering 265 bibliographic databases), which yielded 54 eligible manuscripts reporting 60 meta-analytic studies and 91 effect sizes. The thematic areas were structured under the seven dimensions of the total survey error (TSE). The results showed that past meta-analyses partly cover two of the seven TSE dimensions, namely measurement and nonresponse error, where paradata have an important role, while research questions pertaining to survey methodology under the remaining TSE dimensions have not yet been investigated by the meta-analyses. In this context, the systematic review discussed gaps in current research and potential opportunities for future meta-analyses in survey methodology. The analysis also shows a relatively large untapped potential of paradata.
COBISS.SI-ID: 35940445
The article addresses the issues related to capturing and processing response time paradata – data on the process of answering the survey questionnaire that researchers have been intensively using in the past two decades to evaluate and improve survey instruments as well as to understand the survey response process. This article focuses on approaches for identifying and processing response time and response time outliers. It presents a systematic overview of scientific papers on response time and response time outliers in web surveys. The results show that despite the great potential of response time paradata and the considerable body of existing research a large gap remains in understanding the true potential of response time paradata. This is mostly due to lacking deeper insights into the links between response time paradata and response quality of respondents.
COBISS.SI-ID: 35600477
Do web surveys still yield lower response rates compared with other survey modes? To answer this question, we replicated and extended a meta-analysis done in 2008 which found that, based on 45 experimental comparisons, web surveys had an 11 percentage points lower response rate compared with other survey modes. Paradata also have an important role in this analysis, especially when monitoring the number and invitation mode of contacts. Fundamental changes in internet accessibility and use since the publication of the original meta-analysis would suggest that people's propensity to participate in web surveys has changed considerably in the meantime. However, in our replication and extension study, which comprised 114 experimental comparisons between web and other survey modes, we found almost no change: web surveys still yielded lower response rates than other modes (a difference of 12 percentage points in response rates). Furthermore, we found that prenotifications, the sample recruitment strategy, the survey's solicitation mode, the type of target population, the number of contact attempts, and the country in which the survey was conducted moderated the magnitude of the response rate differences. These findings have substantial implications for web survey methodology and operations.
COBISS.SI-ID: 36236125