A number of organizations ranging from terrorist groups such as ISIS to
politicians and nation states reportedly conduct explicit campaigns to
influence opinion on social media, posing a risk to democratic processes. There
is thus a growing need to identify and eliminate "influence bots" - realistic,
automated identities that illicitly shape discussion on sites like Twitter and
Facebook - before they get too influential. Spurred by such events, DARPA held
a 4-week competition in February/March 2015 in which multiple teams supported
by the DARPA Social Media in Strategic Communications program competed to
identify a set of previously identified "influence bots" serving as ground
truth on a specific topic within Twitter. Past work regarding influence bots
often has difficulty supporting claims about accuracy, since there is limited
ground truth (though some exceptions do exist [3,7]). However, with the
exception of [3], no past work has looked specifically at identifying influence
bots on a specific topic. This paper describes the DARPA Challenge and
describes the methods used by the three top-ranked teams.Comment: IEEE Computer Magazine, in pres
In the construction process, real-time quality control and early defects detection are still the most significant approach to reducing project schedule and cost overrun. Current approaches for quality control on construction sites are time-consuming and ineffective since they only provide data at specific locations and times to represent the work in place, which limit a quality manager's abilities to easily identify and manage defects. The purpose of this paper is to develop an integrated system of Building Information Modelling (BIM) and Light Detection and Ranging (LiDAR) to come up with real-time onsite quality information collecting and processing for construction quality control. Three major research activities were carried out systematically, namely, literature review and investigation, system development and system evaluation. The proposed BIM and LiDAR-based construction quality control system were discussed in five sections: LiDAR-based real-time tracking system, BIM-based real-time checking system, quality control system, point cloud coordinate transformation system, and data processing system. Then, the system prototype was developed for demonstrating the functions of flight path control and real-time construction quality deviation analysis. Finally, three case studies or pilot projects were selected to evaluate the developed system. The results show that the system is able to efficiently identify potential construction defects and support real-time quality control.
There has been recent academic interest in programs as value creation processes. Scholars focus particularly on the front end of programs as opportunities for clients to create value. At the front end, client and market partners can actively co-produce value through co-creation sessions. This paper investigates what stakeholders do in co-creation sessions and how this contributes to the co-creation of value at the front end of programs. We used an action research approach combined with participant observation, document analysis, and interviews with participants to study stakeholder engagement in co-creation sessions at the front end of a Dutch infrastructure development program. The findings show that the client intended to realize a value (value-for-firm) that was competing with market partners' values. By engaging in co-creation sessions with the client, market partners and knowledge partners co-created three sets of values (value-in-use) as follows: commercial, intellectual and collaborative values. The findings contribute to the academic debate on value creation in programs with an in-depth understanding of co-creation sessions at the front end.
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