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This paper aims to examine the recommendation system of the video-sharing website YouTube to study how control of users is effected on online platforms.

This paper conceptualises algorithmic systems as protocols – technological and social infrastructures that both facilitate and govern interactions between autonomous actors (Galloway and Thacker, 2004, 2007). It adopts a netnographic approach (Kozinets, 2002) to study not only the formal, technological systems of the platform but also the systems as they were made sense of, understood and enacted upon by actors. It relies both on information as revealed by the organisation itself, as well as discussions between lay users in online forums and press coverage.

The results of this study indicate that the ways in which platforms selectively facilitate interactions between users constitute a form of control. While maintaining the appearance of an open and neutral marketplace, interactions on the platform are in fact highly structured. The system relies on the surveillance of user interactions to rapidly identify and propagate marketable contents, so as to maximise user “engagement” and ad revenue. The systems place few demands or restrictions on individual users, instead control is effected in a probabilistic fashion, over the population of users as a whole, so as to, in aggregate, accomplish organisational goal.

This paper contributes to the literature on accounting and control practices in online spaces, by extending the notion of control beyond overt rankings and evaluations, to the underlying technical and social infrastructures that facilitate and shape interactions.

The purpose of this study is twofold; first, it aims to understand the underlying dynamics of the organizations behind the terrorist attacks, and second, to investigate the dynamics of terrorist organizations in relation to one another to detect whether there exist shared patterns of terror between different organizations.

To achieve this purpose, the researcher proposes a computational algorithm that extracts data from global terrorism database (GTD); calculates similarity indices between different terrorist groups; generates a network data file from the calculated indices; and apply network analysis techniques to the extracted data. The proposed algorithm includes applying SQL database codes for data extraction, building a tailored C# computer software to calculate similarity indices and generate similarity networks and using GEPHI software to visualize the generated network and calculate network metrics and measures.

Applying the proposed algorithm to Egypt, the results reveal different shared patterns of terror among different terrorist groups. This helps us in creating a terror landscape for terrorist groups playing in Egypt.

The importance of the study lies in that it proposes a new algorithm that combines network analysis with other data-manipulation techniques to generate a network of similar terror groups.

This study aims to determine the status and conditions of small and medium enterprises (SMEs) as predictors in empowering the rural communities of Samar Island, Philippines. Specifically, it aimed to describe SMEs’ organizational variables, and assess their conditions in terms of membership/ownership structure; leadership; policies, systems and procedures; resource mobilization; linkages and networking; communication systems; and awards and recognition; determine the level of empowerment of rural communities with SMEs along the aspects of material, perceptual and relational changes; and find out whether significant relationship exist between the organizational variables and the level of empowerment.

The study is a descriptive survey that utilized structured survey questionnaires, personal interviews and dialogues with the respondents in the actual data collection. The survey involved 18 SMEs from the rural communities of the 12 municipalities from the 3 provinces of Samar Island, as study samples – 6 coming from each province with 2 SMEs in every sub-sector of trading, manufacturing and services. Out of 270 respondents, 256 (94.81 per cent) responded. All statistics were computed using the SPSS computer software.

The organizational variables of the SMEs such as membership and ownership structure, leadership, policies, systems and procedures, resource mobilization, linkages and networking, communication systems and awards and recognition were assessed to be all “good” and were found to have significant relationship with the level of empowerment of rural communities with SMEs.

The rural communities with SMEs were empowered along the aspects of material, perceptual and relational changes. The result of the study indicated that through SMEs, rural people experienced changes in their lives. The test about the relationship of the organizational variables such as nature and ownership of business enterprise, leadership, policies, systems and procedures, resource mobilization, linkages and networking, communication systems and awards and recognition and the level of empowerment of rural communities as determined by changes in the material, perceptual and relational aspects of rural life proved to have significant relationships.