Getting a manageable news data sample from big news databases / Xiaoqun Zhang.
Content analysis is a major research method in media and communication studies. Choosing a manageable data sample is a crucial step in the content analysis. Many researchers in media and communication studies use news databases such as LexisNexis as the data sources for their studies. These big data...
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| Format: | Ebook |
| Language: | English |
| Published: |
London :
SAGE Publications, Ltd.,
2022.
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| Series: | SAGE research methods cases.
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| Subjects: | |
| Online Access: | SAGE |
| Summary: | Content analysis is a major research method in media and communication studies. Choosing a manageable data sample is a crucial step in the content analysis. Many researchers in media and communication studies use news databases such as LexisNexis as the data sources for their studies. These big datasets contain huge amount of news data that are usually not workable for human coding. Researchers need to find a way to obtain manageable news data sample to perform content analysis using human coding approach. This case study discussed how a manageable news data sample was obtained from big news data datasets. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1529601223 9781529601220 |