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Content analysis is the study of documents and communication artifacts, known as texts e.g. photos, speeches or essays. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. [1]
Online content analysis or online textual analysis refers to a collection of research techniques used to describe and make inferences about online material through systematic coding and interpretation. Online content analysis is a form of content analysis for analysis of Internet-based communication.
Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.
The automation of content analysis has allowed a "big data" revolution to take place in that field, with studies in social media and newspaper content that include millions of news items. Gender bias, readability, content similarity, reader preferences, and even mood have been analyzed based on text mining methods over millions of documents.
Lasswell assigns each question to its own field of inquiry within the discipline of communication studies, corresponding to control analysis, content analysis, media analysis, audience analysis, and effect analysis. [7] Because of the centrality of its five questions, it is sometimes referred to as the 5W model of communication. [15]
Video content analysis is a subset of computer vision and thereby of artificial intelligence. Two major academic benchmark initiatives are TRECVID, [23] which uses a small portion of i-LIDS video footage, and the PETS Benchmark Data. [24] They focus on functionalities such as tracking, left luggage detection and virtual fencing.
Thematic analysis goes beyond simply counting phrases or words in a text (as in content analysis) and explores explicit and implicit meanings within the data. [2] Coding is the primary process for developing themes by identifying items of analytic interest in the data and tagging these with a coding label. [4]
A content audit is "the only way to fully understand the structure and quality of the content" on a website. [13] It can help: develop a content strategy; manage content quality; prepare content for a migration or for the development of a new site IA or design; evaluate content against business goals, editorial style guidelines, and templates; establish a common language among team members ...