Successful collaboration begins with a shared language, hence the need for a glossary. This joint effort of contributors from several teams ensures, on the one hand, terminological and conceptual coherence across not only our theoretical approaches, but also the qualitative case studies and quantitative research conducted in OPPORTUNITIES. On the other hand, our glossary facilitates communication between the academic side of the project and the fieldwork conducted by NGOs, uniting our teams working from Austria, Belgium, France, Germany, Ghana, Italy, Mauritania, the Netherlands, Portugal, Romania and Senegal.

For more information about the Structure and Objectives of the Glossary, click here...)

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Segmentation analysis

In a research report of which Leen d’Haenens, promoter for IMS in the OPPORTUNITIES project, is co-author (see Verhoest et al. 2019), the phenomenon of segmentation is synthesized as follows: “Segments are population groups with similar consumption patterns that can be identified on the basis of common characteristics. In the context of news consumption, such characteristics may include political attitudes, psychological dispositions, socio-economic profiles, or any other shared properties that explain observable consumption patterns.” (Verhoest et al. 2019, 4–5) Segmentation analysis is possible on both primary and secondary data (see “Survey analysis”).

⇢ see also survey analysis

References and further reading:

Verhoest, Pascal, Arno Slaets, Leen d’Haenens, Joeri Minnen, and Ignace Glorieux. 2019. Fragmentation, Homogenization or Segmentation: A Diary Survey into the Diversity of News Consumption in a High-Choice Media Environment. DIAMOND report. URL: Date of access: August 24, 2021.

Category: A

Work Package: 2, 4, 5

[DC / LH / SM]

Social network analysis

Social Network Analysis involves the representation of individuals and how they relate to each other. Preceding the age of the Internet, this involved the use of sociograms, whereby the application of methods like in-depth interviews were used to identify ties between individuals. Social network analysis involves a methodological challenge. A method needs to be found to identify relationships between individuals. This methodological challenge has disappeared in the use of Twitter data, as foreseen OPPORTUNITIES, because Twitter data contain information on who follows whom and who retweets messages from others. Hence the nodes of activity will be identified and potential filter bubbles can be identified, especially when there is a large amount of tweeting and retweeting going on between certain individuals.

⇢ see also filter bubble

Category: A

Work Package: 2, 4, 5

[DC / LH / SM]


In EC terminology, stakeholders are individuals, groups of people, institutions, or organizations that “have a significant interest in the success or failure of [a] project (either as implementers, facilitators, beneficiaries or adversaries)” (EC 2004, 61). They influence the project or are affected by it for various reasons (e.g. subject of study, wish for recognition, genuine interest) and in various ways (e.g. directly or indirectly, positively or negatively) (cf. EC 2004, 62). Stakeholders addressed by OPPORTUNITIES include migrants, refugees, citizens, politicians, researchers, activists, and NGOs.

References and further reading:

European Commission. 2004. Aid Delivery Methods – Volume 1: Project Cycle Management Guidelines. URL: Date of access: August 24, 2021.

Category: D

Work Package: 2, 3, 4, 5, 6, 7, 8


Survey analysis

Interviews with large amounts of individuals using a standardized questionnaire and allowing for subsequent statistical analyses on the gathered material are the usual basic ingredients of survey analysis. Two basic types of survey analysis can be distinguished: A first approach is to gather new data within a research project. A second approach is to analyze existing data, because many reputable international databases contain material that has already been gathered. In the OPPORTUNITIES project both approaches are combined. Secondary analysis of different waves of the European Social Survey will be combined with new data within the four OPPORTUNITIES countries (n = 1.500 in each of the four countries, i.e., Austria, Germany, Hungary, and Italy, resulting in total n = 6.000).

⇢ see also data, data set, data mining

Category: A Work Package: 2, 4, 5

[DC / LH / SM]