Disinformation and Propaganda Glossary
Disinformation and Propaganda Glossary
Propaganda is an old concept. The term was first used in 1622 by the Catholics on Congregatio de propaganda de fide (Congregation for the propagation of faith). It has been used in different ways, but nowadays, it is mostly associated with disinformation.
Jowett & O’Donnell's (2013: 7) definition: ”Propaganda is the deliberate and systematic attempt to shape perceptions, manipulate cognitions, and direct behavior to achieve a response that furthers the desired intent of the propagandist.”
Authors distinguish between white, grey, and black propaganda. They can briefly be described as follows:
Black propaganda means intentional lies. This concept resembles Wardle's concept of disinformation, fabricated and manipulated content (more about Wardle on "disinformation").
Grey propaganda may contain correct facts, but the facts are framed och presented in a misleading way. This resembles some of Wardle's categories, but in Wardle's taxonomy misinformation is not intentional.
White propaganda is pretty much any kind of openly strategic communication, such as advertising, marketing, or well-meaning campaigns like "Stop smoking." Critics, however, point out that if anything can be classified as propaganda, the concept loses its meaning. Wardle doesn't include this type of content.
The point is that strategic communication can take many different forms and be used for many different purposes. Obvious lies are easier to detect than more subtle attempts to shape perceptions or behavior. Some attempts at persuasion may be positive (for example, health campaigns), and some negative (disinformation campaigns).
Jowett, G. S. & O'Donnell, V. (2013). Propaganda and Persuasion. Sage.
Wardle, C. (2018). The Need for Smarter Definitions and Practical, Timely Empirical Research on Information Disorder, Digital Journalism, 6:8, 951-963, DOI: 10.1080/21670811.2018.1502047.
Term | Definition |
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Biased sample |
In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others. It results in a biased sample of a population (or non-human factors) in which all individuals, or instances, were not equally likely to have been selected. If this is not accounted for, results can be erroneously attributed to the phenomenon under study rather than to the method of sampling. Sample X is taken from Population Y. Conclusion Z is drawn from sample X. It is assumed that Z is also true about Y. Take a biased or otherwise statistically invalid sample. Analyze the data. Draw conclusions and declare the results significant. |