In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

[Q]: We also measure the usage of words related to people's core values as reported by Boyd et al. boyd2015. The sets of words, or themes, were excavated using the Meaning Extraction Method (MEM) BIBREF10 . 
 Question: How do they obtain psychological dimensions of people?
[A]: using the Meaning Extraction Method


[Q]: We collect three years of online news articles from June 2016 to June 2019. 
 Question: What unlabeled corpus did they use?
[A]: three years of online news articles from June 2016 to June 2019


[Q]: We evaluate our proposed model on a Twitter dataset obtained from the authors of BIBREF12. Our final dataset consists of 11,576 users (i.e, fact-checkers), 4,732 fact-checking URLs and 63,429 interactions. The dataset also contains each user's social network information. Note that each user's social relationship is restricted within available users in the dataset. 
 Question: What dataset is used?
[A]:
Twitter dataset obtained from the authors of BIBREF12