Leveraging an established exercise in negotiation education, we build a novel dataset for studying how the use of language shapes bilateral bargaining.Our dataset extends existing work in two ways: 1) we recruit participants via behavioral labs instead of crowdsourcing platforms and allow participants to negotiate through audio, enabling more naturalistic interactions; 2) we add a control setting where participants negotiate only through alternating, written numeric offers.Despite the two contrasting forms of communication, we find that the average agreed prices of the two treatments are identical.But when subjects can talk, fewer offers are exchanged, negotiations finish faster, the likelihood of reaching agreement rises, and the variance of prices at which subjects agree drops substantially.We further propose a taxonomy of speech acts in negotiation and enrich the dataset with annotated speech acts.We set up prediction tasks to predict negotiation success and find that being reactive to the arguments of the other party is advantageous over driving the negotiation.

With the rapid shift to remote learning in the early days of the COVID-19 pandemic, parents, teachers, and students had to quickly adapt to what scholars have called "emergency remote learning" (ERL). This transition required increased reliance on digital tools, exacerbating privacy and security threats associated with expanded data collection and new vulnerabilities. In this study, we adopt a sociotechnical and infrastructural perspective to understand how these threats emerged through breakdowns and tensions in elementary school ERL. Through interviews with 29 US-based teachers and parents of elementary school students (grades PreK-6), we identify two core findings related to privacy and security. First, we detail three breakdowns in the ERL sociotechnical infrastructure: (1) reduced attention to privacy and security issues as parents and teachers cobbled together a patchwork of tools needed to make ERL work; (2) privacy and security risks that emerged from ambiguous and shifting school policies; and (3) the failure to adapt standard authentication mechanisms (e.g., passwords) to be usable by young children. Second, we identify tensions between parents' and teachers' desire to help children advance in their education and their desire for children's privacy and security in ERL, as well as tensions resulting from the collapse of home and school contexts. These findings collectively suggest that ERL exacerbated existing--and created new--privacy and security challenges for young students, and we argue these challenges will carry beyond the pandemic due to the increasing use of technology to supplement traditional education. In light of these findings, we recommend researchers and educators use a framework of care to develop social and technical approaches to improving remote learning in order to protect children's privacy and security.