Diplomacy & Politics Glossary

The study of the sequence of clicks or online actions a user takes, used to understand behavior and improve digital experiences.

Selecting only data that supports a particular conclusion while ignoring data that contradicts it, leading to biased results.

Deliberate manipulation or fabrication of data to mislead or support false conclusions.

Data integrity ensures information is accurate, consistent, and unaltered throughout its lifecycle to maintain reliability in analysis and reporting.

The practice of manipulating or disguising data sources to make misleading or false information appear legitimate.

Incorrectly analyzing or drawing conclusions from data due to misunderstanding statistics or context.

The trail of digital data a person leaves behind from online activities, which can be collected and analyzed without their explicit knowledge or consent.

Overwhelming amount of information that makes it difficult to find useful or accurate data.

The graphical representation of information to help understand patterns, trends, and insights.

Principles guiding the honest and transparent presentation of data through charts and graphs to avoid misleading or manipulating audiences. It emphasizes clarity, accuracy, and context.

The ability to understand and critically evaluate graphical representations of data to avoid misinterpretation.

Drawing a broad conclusion from a small or unrepresentative sample of data.

A situation where one party has more or better information than another, often leading to imbalance in power or decision-making.

A misleading graph visually distorts data to misrepresent the truth or exaggerate a point.

A statistic presented in a way that deceives or manipulates interpretation, often by omitting context or using biased data.

Using numerical data in a way that distorts the truth, often by cherry-picking or manipulating visuals.

A statistical modeling error where a model describes random noise instead of the underlying relationship, reducing generalizability.

Manipulating data or analyses until statistically significant results are found, compromising research integrity.

Sampling bias happens when collected data does not represent the target population accurately.

The difference between a sample statistic and the actual population parameter caused by chance or biased sampling.

The actual list or database from which a sample is drawn for research or surveys.

A bias that occurs when the sample selected does not accurately represent the population intended to be analyzed.

Bias introduced when individuals select themselves into a group, causing the sample to be unrepresentative of the population.

The proportion of useful, relevant information compared to irrelevant or distracting data in media content.

The tendency of respondents to answer questions in a manner that will be viewed favorably by others, distorting survey or interview results.