What's Going on in Community Media

What's Going On in Community Media shines a spotlight on media practices that increase citizen participation in media production, governance, and policy. The report summarizes the findings of a nationwide scan of effective and emerging community media practices conducted by the Benton Foundation in collaboration with the Community Media and Technology Program of the University of Massachusetts, Boston. The scan includes an analysis of trends and emerging practices; comparative research; an online survey of community media practitioners; one-on-one interviews with practitioners, funders and policy makers; and the information gleaned from a series of roundtable discussions with community media practitioners in Boston, Chicago, Minneapolis/St. Paul, and Portland, Oregon

Parent-child communication about internet use and acceptance of parental authority

Structural equation modeling is applied to investigate how parents' communication with their child about his or her Internet use is linked to the child's acceptance of parental authority in the context of Internet use, and how this in turn is linked to the child's social media behavior. This study surveyed children aged 13 to 18 and their mothers and fathers (N = 357 families) and found that acceptance of parental authority is a key factor in the effectiveness of parental mediation. It is recommended that parental mediation is studied as a dynamic process shaped by both parents and children

Hybrid-Vehfog: A Robust Approach for Reliable Dissemination of Critical Messages in Connected Vehicles

Vehicular Ad-hoc Networks (VANET) enable efficient communication between vehicles with the aim of improving road safety. However, the growing number of vehicles in dense regions and obstacle shadowing regions like Manhattan and other downtown areas leads to frequent disconnection problems resulting in disrupted radio wave propagation between vehicles. To address this issue and to transmit critical messages between vehicles and drones deployed from service vehicles to overcome road incidents and obstacles, we proposed a hybrid technique based on fog computing called Hybrid-Vehfog to disseminate messages in obstacle shadowing regions, and multi-hop technique to disseminate messages in non-obstacle shadowing regions. Our proposed algorithm dynamically adapts to changes in an environment and benefits in efficiency with robust drone deployment capability as needed. Performance of Hybrid-Vehfog is carried out in Network Simulator (NS-2) and Simulation of Urban Mobility (SUMO) simulators. The results showed that Hybrid-Vehfog outperformed Cloud-assisted Message Downlink Dissemination Scheme (CMDS), Cross-Layer Broadcast Protocol (CLBP), PEer-to-Peer protocol for Allocated REsource (PrEPARE), Fog-Named Data Networking (NDN) with mobility, and flooding schemes at all vehicle densities and simulation times

Objective assessment of region of interest-aware adaptive multimedia streaming quality

Adaptive multimedia streaming relies on controlled adjustment of content bitrate and consequent video quality variation in order to meet the bandwidth constraints of the communication link used for content delivery to the end-user. The values of the easy to measure network-related Quality of Service metrics have no direct relationship with the way moving images are perceived by the human viewer. Consequently variations in the video stream bitrate are not clearly linked to similar variation in the user perceived quality. This is especially true if some human visual system-based adaptation techniques are employed. As research has shown, there are certain image regions in each frame of a video sequence on which the users are more interested than in the others. This paper presents the Region of Interest-based Adaptive Scheme (ROIAS) which adjusts differently the regions within each frame of the streamed multimedia content based on the user interest in them. ROIAS is presented and discussed in terms of the adjustment algorithms employed and their impact on the human perceived video quality. Comparisons with existing approaches, including a constant quality adaptation scheme across the whole frame area, are performed employing two objective metrics which estimate user perceived video quality