Media Literacy Capabilities of Broadcast Monitoring in Regional Indonesian Broadcasting Commission (KPID) of West Java

The role of media literacy is significantly needed to ward off the harmful effects of the media, especially television. Ideally, media literacy skills should be possessed by all people to avoid numerous harmful effects of television. The Indonesian broadcasting commission (KPI) as the broadcast regulator in Indonesia has the task of monitoring broadcast content and also educating the public to be media literate. In conducting its duties, it involves the community to monitor broadcasts by forming volunteers, known as broadcast monitors. This study uses a quantitative approach to examine accessibility, analysis, evaluation, and broadcast monitoring communication in supporting broadcast regulator performance. The research object is broadcast monitors supervised by the Regional Indonesian Broadcasting Commission (KPID) of West Java Province in 2018. The monitors consist of five batches from five regions in West Java, namely Sumedang, Subang, Karawang, Bogor, and Bandung. Based on the research results, it shows that the media literacy capability of broadcast monitors is high, both in terms of the ability to access the media, analyze television programs and evaluate them, and even communicate the results of their monitoring to KPID West Java. The high level of media literacy has decent implications for the high participation of broadcast monitors to make complaints and the frequent findings of violations related to broadcast contents. Keywords: Media literacy, broadcasting, regulation, regulator, television.

Compressive Sampling with Multiple Bit Spread Spectrum-Based Data Hiding

We propose a novel data hiding method in an audio host with a compressive sampling technique. An over-complete dictionary represents a group of watermarks. Each row of the dictionary is a Hadamard sequence representing multiple bits of the watermark. Then, the singular values of the segment-based host audio in a diagonal matrix are multiplied by the over-complete dictionary, producing a lower size matrix. At the same time, we embed the watermark into the compressed audio. In the detector, we detect the watermark and reconstruct the audio. This proposed method offers not only hiding the information, but also compressing the audio host. The application of the proposed method is broadcast monitoring and biomedical signal recording. We can mark and secure the signal content by hiding the watermark inside the signal while we compress the signal for memory efficiency. We evaluate the performance in terms of payload, compression ratio, audio quality, and watermark quality. The proposed method can hide the data imperceptibly, in the range of 729–5292 bps, with a compression ratio 1.47–4.84, and a perfectly detected watermark.

Compressive Sampling with Multiple Bits Spread Spectrum-Based Data Hiding

We propose a novel data hiding method in an audio host with a compressive sampling technique. An over-complete dictionary represents a group of the watermark. Each row of the dictionary is a Hadamard sequence representing multiple bits of the watermark. Then, the singular values of segment-based host audio in a diagonal matrix multiply by the over-complete dictionary producing a lower size matrix. At the same time, we embed the watermark into the compressed audio. In the detector, we detect the watermark and reconstruct the audio. This proposed method offers not only hiding the information but also compressing the audio host. The application of the proposed method is a broadcast monitoring and biomedical signal recording. We can mark and secure the signal content by hiding the watermark inside the signal while we compress the signal for memory efficiency. We evaluate the performance in terms of payload, compression ratio, audio quality, and watermark quality. The proposed method can hide the data imperceptibly, in range 729-5292 bps with compression ratio 1.47-4.84 and perfect detected watermark.

THEMATIC AND GENRE ORIGINALITY OF THE REGIONAL TELEVISION CHANNELS PROGRAMMES (ON THE EXAMPLE OF SEVASTOPOL)

Thе article presents an analysis of the content produced by Sevastopol TV companies and studios. Based on Roskomnadzor data the authors provide a list of Sevastopol TV channels, describe the thematic and genre features of TV programs. The main research methods are TV channel broadcast monitoring and content analysis. The authors come to the conclusion that the TV space of Sevastopol is heterogeneous. Both state and private TV channels are present in the city media market. The authors demonstrate how depending on the form of ownership and the goals of the founders the editorial policy of TV channels and the thematic focus of programs change. Thus state TV channels cover more of the activities of the Executive and Legislative city government. Private TV channels address problematic issues of the population with some criticism of the authorities. The basis of the broadcast is informational and socio-political programs, the most common genres are interviews and news. The authors also describe video content produced by two organizations that are not registered as separate mass media, such as a branch of VGTRK – GTRK Sevastopol and a TV studio of the black sea Fleet of the Russian Federation.

Performing Security on Digital Images

In image watermarking, information is embedded in the original image for many reasons, such as ownership proofing, alteration detection, and/or fingerprinting, but it can also be used for real-time services such as e-payment, broadcast monitoring, and surveillance systems. For these, the data embedded must be extractable even if the image is manipulated intentionally or unintentionally. In contrast, robust techniques are the kind of watermarking that could assure the authenticity and protect the copyright. Many robust image watermarking approaches have been proposed in the last few years, and the purpose of this chapter is to provide a survey about recent relevant robust image watermarking methods existing in the literature.