Post by account_disabled on Feb 22, 2024 6:18:24 GMT
Data integrity applied to social media analytics is important, especially if critical business decisions are based on information from outside. Obtaining accurate data for social media analysis requires understanding the concept of data quality extensively, not just focusing on the attributes of the data itself, but going beyond that and seeking coherence, contextualization, and minimization or absence of interference. Working towards collecting information in this way means doing so under the appropriate conditions of data integrity. data integrity Photo credits: Data integrity in the practice of social media analytics Regardless of the tool being used, there are some best practices whose application instantly raises the levels of data integrity in the analysis processes.
These are the following: 1. Selection of social media platform: you must be clear about your business priorities and objectives before choosing the appropriate social media platform for data capture. In this process you must: Select social networks in adequate quantity so as not to lose relevant information due to lack of means to take into consideration. Do not focus on Chinese Student Phone Number List Facebook and Twitter alone, since LinkedIn, YouTube or Pinterest may contain information of strategic interest. Dispense with those whose analysis does not generate value, since, in addition to involving an unjustified expenditure of resources, they will introduce noise into the data with their irrelevance. For example, if the project has to be based in Spain it is not necessary to add "Weibo Sina" (Chinese social network) to the social media source group. 2. Selection of search keywords: after having selected the appropriate social media platforms for the project, the keywords through which the data will be collected can be determined.
For this it is necessary: Investigate the way data is collected on each social network: just as Twitter allows data to be collected through "hashtags", each social media has its own way of presenting information and you have to know it. Choose the words that best reflect what you want to know, being especially careful in their selection when they are sentences rather than individual terms. In general, it is preferable to avoid the use of conjunctions, although if you do use one, the most appropriate would be "and." 3. Language and country selection: social networks are global in nature and that is why it is important to filter (or include) the language to apply and the country where the searches are carried out based on the project being worked on. Guaranteeing the integrity of data from its collection on social networks is the best contribution to the subsequent quality of the information and knowledge that is generated through the practice of social media analytics. This integrity will be reflected in the consistency of reporting and will make a difference in taking action.
