The portrayal of Islam in a hostile relationship with rationality, liberty, and tolerance, leads to a politics of identity were a marginalized community embattles to re-affirm and resist the tarnished face. The bigoted perception of Islam as a political, economic, and social threat reinforces the unfounded Islamophobia and needs production of counter-narrative by scholars and researchers believing in humanity and equality. This paper aims to explore the discursive construction of Islam through the use of E-media caricatures. Discourse historical approach (DHA) is used to analyze the discourse of 16 Emedia caricatures disseminated on the World Wide Web in the years 2017 and 2018. The analysis demonstrates the discursive strategies namely referential strategy, predication, argumentation and intensification used in the (mis)representation and (de)legitimization of the face of Islam in the E-Media. This study gives a deeper insight into the issue of the negative identity construction of Islam using caricatures

This paper attempts to gain an understanding of the ways in which Muslim women are presented on the E-media in the broader world community by identifying and examining the linguistic and visual signifiers used in the caricatures. The sample selected for the current research work consists of 22 caricatures disseminated on the World Wide Web between years 2012 - 2013. From a theoretical perspective, the socio-cognitive approach to CDA introduced by Van Dijk (1992, 1993, 2000, 2012) on communication of ethnic biases and racial prejudices is combined with the visual semiotic model by Roland Barth (1978). The two approaches are merged to examine linguistic and visual aspects of caricatures for identifying signs which construct certain identities of Muslim women. This paper argues that in the collected caricatures the identity of Muslim women is constructed as distant and different from the (Western) social norm. The iconic images or visual identifiers used, function to transfer all the biased imagery and prejudice about Muslim women to the actual situation. Thus they serve the purpose to authenticate the stereotypical identity. This paper claims that the social caricatures collected, depict racial and ethnic prejudices against Muslim women.

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Freud’s trifurcated concept of human nature asserts that unlike other emotional states, guilt is a quite complicated feeling which requires a differentiated and powerful brain. A human brain, being cognizant of this uniqueness, is capable of self-appraisal and self-censure. The present study penetrates the intricacies of human mind through the study of protagonists of The Scarlet Letter and Raja Gidh. The concept of Freudian superego is used to examine the two characters, Dimmesdale and Qayyum, set in completely different temporal and spatial dimensions of human society. The parameters of psychoanalytical interpretation describes the human psychological distress and fight against the mental chaos after crossing the ethical boundaries of morality. It postulates that Freudian psychoanalysis contributes effectively to research in literary criticism beyond the social, cultural and linguistic boundaries as it highlights the universality of unique human feelings.

The increased interest in the techniques of corpus linguistics in the first decade of 21st century was based on the most important premises, which are valid even today – investigation of larger datasets in less time. This article compares the results of different corpus techniques employed for exploring the dominant semantic domains in a corpus. These corpus techniques include use of word clouds, frequency lists and KWIC of a text. This study uses fictional discourse by Kamila Shamsie – namely Broken Verses (2005) – to illustrate the corpus methodology. In addition to different corpus techniques, this study also compares the usability of different corpus software for this purpose such as, Antconc (3.2.4), Nvivo 11, and Sketch Engine. This article will prove to be a good beginning point for the researchers exploring a text in any field of corpus linguistics and digital humanities.