Notice: the WebSM website has not been updated since the beginning of 2018.

Web Survey Bibliography

Title Identifying the real differences of opinion in social media sentiment
Author Pettit, A.
Year 2013
Access date 10.04.2014
Full text

pdf (1.26 MB)

This study examined the differences in social media sentiment based on author 
gender, age and country. After creating ten category-generic datasets, millions 
of social media verbatims from thousands of websites were collected, cleaned 
of spam, and scored into five-point sentiment scales. The results showed that 
women exhibit more positive sentiment, older people exhibit more positive 
sentiment, and Australians exhibit more positive sentiment, while Americans 
share more negative sentiment. The differences were small but clear, suggesting 
that research methodologists should apply correction factors to ensure that their 
results more accurately reflect differences of opinion as opposed to differences of 
word choice. Business users of social media data can be reassured that correction 
factors are not required to improve the accuracy of their research.
Access/Direct link

Homepage (abstract) / (full text)

Year of publication2013
Bibliographic typeJournal article