11/01/2014

Social Media Research

Hello again, this week we are covering Chapter 9 Social Media for Consumer Insights, which basically is about how marketers can use social media research methods to compile data from online information.


The strength in this chapter is how much vocabulary is given to help explain the different types of social media research that marketers use to compile research information from social media sites. For example the chapter focuses on both qualitative and quantitative research in the form of observational and ethnographic research, monitoring and tracking, and sentiment and content analysis. The weakness is in how little the process for actually doing research on social media sites is covered, the book does a good job of breaking down they types of research and how they are each preformed separately, but not on how companies perform the service of collecting the information for research.

Five terms I’ve never heard:

Netnography- is a research methodology that takes information from public spaces online and uses that research to study a group without being intrusive.

Scraping- is an automated monitoring process that searches the web for conversations that relate to the criteria that has been designated to be the target and stores this information on a database.

Opinion Mining- is another term used to describe sentiment analysis, which is basically the collection of opinions from online users about a brand.

Echo Effect- is also known as online-echo, is a term used to describe a sampling error in the research process that can occur where users share other users post sometimes across many social media platforms causing it to be hard to give an accurate sampling of information.

Nonresponse Bias- is the potential for social media research to be inaccurate by not capturing some information from the target population that have significantly different information from the users who’s information was collected, causing the research to be biased.

I searched Tesla Motors on socialmention.com and I do agree with the results that came up, the strength in social media mentions is 31%, sentiment ratio is 6:1 meaning the ratio of positive mentions to negative, passion is 41%, the possibility that a user will repeatedly mention the brand, and reach is 24%, is the range of influence the users have about this brand. The number of users that were used to collect the data seems a little small, but that seems to be one of the few things I wasn’t satisfied with.

 Thanks for visiting my blog, and I hope everyone has a good weekend!