On why the poor have duties too

ABSTRACTI argue that ascribing duties to the poor better realizes Deveaux’s methodological and normative commitments; address some of the concerns such ascription raises; and indicate how Deveaux’s rich description of collective and individual agency-building can contribute to theorizing moral agency in non-ideal circumstances more generally

The ethics of exile : the normative grounds of exile politics

In this dissertation, I identify the normative grounds of exile involvement in homeland politics to determine whether and when exile activism is morally permissible, required, and legitimate. I draw on case studies throughout the thesis, and especially from the fo Iowing three exile communities: Iranians, Sri Lankan Tamils, and Tibetans. In Part I, I argue that exiles may be entitled to participate in and influence homeland politics. I consider two grounds: first, that exiles are stakeholders whose interests are affected by political developments in the homeland, and who are therefore entitled to some say in those developments; and second, that exiles are the representatives of silenced or otherwise marginalized groups in the homeland. I identify the conditions under which exiles can legitimately claim each of these grounds and the challenges they face in satisfying these conditions. In Part Il, I turn to the question of whether exiles are subject to special responsibilities to remain involved in homeland politics. I identify four bases for exile responsibilities: capability to assist; shared identity; shared oppression; and complicity in collective wrongdoing. I conclude that exiles' special capabilities to provide assistance impose a minimum duty of publicity. Exiles' activism that goes beyond this duty may be accounted for by their reasons from identity, oppression, or complicity.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

UPLBSN: User Profiling in Location-Based Social Networking

Online social networks serve various purposes and help mankind in many ways. The amount of information in social networks is increasing everyday, making it huge data source for its users. All the data available in social networks may not be trustworthy. In this work, we present an intelligent, crowd-powered information collection system that identifies the set of trusted experts topic-wise in Twitter social network. The proposed UPLBSN algorithm presented in this work identifies trusted experts by finding the relationship between content of tweets and the tweet location. The topic(s) of user posts are clustered by extracting the keywords and are stored in the database. Profiled profound users are presented to the business users based on the topic searched by them. The proposed UPLBSN algorithm is evaluated by conducting experiments on Twitter data set to demonstrate its adequacy