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We describe a new approach to information retrieval: algorithmic mediation for intentional, synchronous collaborative exploratory search. Using our system, two or more users with a common information need search together, simultaneously. The collaborative system provides tools, user interfaces and, most importantly, algorithmically-mediated retrieval to focus, enhance and augment the team's search and communication activities. Collaborative search outperformed post hoc merging of similarly instrumented single user runs. Algorithmic mediation improved both collaborative search (allowing a team of searchers to find relevant information more efficiently and effectively), and exploratory search (allowing the searchers to find relevant information that cannot be found while working individually).

This study compares the agenda‐setting cues of traditional media alongside those of online media in general and social media in particular. The main line of inquiry concerns (a) whether people posting content to openly accessible social media outlets may be acting in response to mainstream news coverage, possibly as a “corrective” to perceived imbalances in that coverage, or (b) whether such posts seem to have influenced professional media coverage of the issue, possibly reflecting broader opinion dynamics. We do not view these as competing hypotheses, as this relationship may run in both directions and shift at different points in the evolution of an issue. Our goal is to establish important preliminary findings by addressing these questions in the context of a particular issue that is (a) prominently covered in professional media, and (b) contentious enough to inspire individuals to “take the media into their own hands” by producing and publishing their own “coverage.” Proposition 8 in California, which amended the state constitution to define marriage as the exclusive right of opposite‐sex couples, provides this context. Our analysis focuses on the thousands of videos posted to YouTube and coverage of Proposition 8 in professional news media, tracing the relationships among them.

It is typically expected that when people work together, they can often accomplish goals that are difficult or even impossible for individuals. We consider this notion of the group achieving more than the sum of all individuals' achievements to be the synergic effect in collaboration. Similar expectation exists for people working in collaboration for information seeking tasks. We, however, lack a methodology and appropriate evaluation metrics for studying and measuring the synergic effect. In this paper we demonstrate how to evaluate this effect and discuss what it means to various collaborative information seeking (CIS) situations. We present a user study with four different conditions: single user, pair of users at the same computer, pair of users at different computers and co-located, and pair of users remotely located. Each of these individuals or pairs was given the same task of information seeking and usage for the same amount of time. We then combined the outputs of single independent users to form artificial pairs, and compared against the real pairs. Not surprisingly, participants using different computers (co-located or remotely located) were able to cover more information sources than those using a single computer (single user or a pair). But more interestingly, we found that real pairs with their own computers (co-located or remotely located) were able to cover more unique and useful information than that of the artificially created pairs. This indicates that those working in collaboration achieved something greater and better than what could be achieved by adding independent users, thus, demonstrating the synergic effect. Remotely located real teams were also able to formulate a wider range of queries than those pairs that were colocated or artificially created. This shows that the collaborators working remotely were able to achieve synergy while still being able to think and work independently. Through the experiments and measurements presented here, we have also contributed a unique methodology and an evaluation metric for CIS.