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An important challenge for research on social media use is to relate users’ activity on these platforms to user characteristics such as demographics. Surveys allow researchers to measure these characteristics but may be subject to measurement error in self-reported social media use. We compare survey responses to observed behavior in order to assess the validity of self-reported frequency of posting to Twitter, retweeting content, sharing photos, sharing videos, and sending direct messages. Additionally, we examine correlations between self-reported and observed behavior across a range of time frames, from 1 month to 114 months before the survey. We find variation in the quality of self-reports across types of Twitter activity. We also find that self-reports about posting and retweeting tend to reflect recent activity, while self-reports about other activities tend to reflect behavior over a longer span. Furthermore, we find that two characteristics of experience with the platform—the length of time that a person has been active on Twitter and how much their activity on the platform changes over time—predict individual-level discrepancies between survey response and observed behavior, but these discrepancies cancel out when averaged across individuals. Nevertheless, other sources of bias remain. Taken together, our results indicate that while surveys are quite useful for collecting characteristics of social media users, relying on self-reported social media behavior distorts inferential results from what is found when relying on observed social media behavior.

a b s t r a c t a r t i c l e i n f oThis paper examines international relations as perceived by the public in their social media conversations. It examines over 1.8 billion Facebook postings in English and 51 million Chinese posts on Weibo, to reveal the relations among nations as expressed in social media conversations. It argues that social media represent a transnational electronic public sphere, in which public discussions reveal characteristics of international relations as perceived by a foreign public. The findings show that the international relations in social media postings match the core-peripheral structure proposed in the World Systems Theory. Additionally, the relations are associated with the amount of news coverage and public attention a country receives. Overall, the study demonstrates the value of webometric data in revealing how international relations are perceived by average citizens.

Making sound food and agriculture decisions is important for global society and the environment. Experts tend to view crop genetic engineering, a technology that can improve yields and minimize impacts on the environment, more favorably than the public. Because there is a causal relationship between public opinion and public policy, it is important to understand how opinions about genetically engineered (GE) crops are influenced. The public increasingly seeks science information on the Internet. Here, semantic network analysis is performed to characterize the presentation of the term “GMO (genetically modified organism),” a proxy for food developed from GE crops, on the web. Texts from three sources are analyzed: U.S. federal websites, top pages from a Google search, and online news titles. We found that the framing and sentiment (positive, neutral, or negative attitudes) of “GMO” varies across these sources. It is described how differences in the portrayal of GE food by each source might affect public opinion. A current understanding of the types of information individuals may encounter online can provide insight into public opinion toward GE food. In turn, this knowledge can guide teaching and communication efforts by the scientific community to promote informed decision‐making about agricultural biotechnologies.