Missing the (Data) Point? Analysis, Advocacy and Accountability in the Monitoring of Attacks on Healthcare in Syria

Monitoring of attacks on healthcare has made great strides in the past decade, even if improvement in information has not necessarily resulted in changes on the ground. However, important questions on the knowledge production process continue to be under-explored, including those pertaining to the objectives of monitoring efforts. What does our data actually tell us? Are we missing the (data) point? This paper explores several monitoring mechanisms, and analyses the limitations of the data-gathering exercise, affecting the ability of healthcare workers to share their experiences. By drawing on the experiences of those involved in the medical-humanitarian response in non-government controlled areas in Syria, these dynamics are further brought to the fore, advocating for a more discerning approach in the use of data for such disparate goals as analysis on patterns of attacks (and their implications), advocacy, and accountability.

Internet profiling: The economy of data intraoperability on Facebook and Google

<p><span style="font-size: 12.000000pt; font-family: 'CronosPro'; font-style: italic; color: rgb(31.500000%, 30.900000%, 32.700000%);">This article investigates online profiling and data strategies by identifying and comparing data strategies of the two most visited internet companies, Google and Face- book. The aim of the article is to use media economics and management perspectives to enrich the discussion on profiling from a political economy perspective. The article maps differences in the data strategies of the services and the potential data collected through a data point analysis, and suggests conceptual distinctions between vertical and horizontal data strategies, touch point and social network, integrated and diversified application programming interface (API) structures, and relevance and reputation data strategy perspectives. Furthermore, the findings in the article suggest distinguishing among profiling for advertisers, developers, and government agencies. Addressing these stakeholders through the identified data strategic differences, the findings point to different implications for privacy, digital divides, algorithmic adoption, and societal segregation and intolerance. </span></p><p> </p>