Automated text analysis in psychology: methods, applications, and future developments

2014 ◽  
Vol 7 (2) ◽  
pp. 265-290 ◽  
Author(s):  
RUMEN ILIEV ◽  
MORTEZA DEHGHANI ◽  
EYAL SAGI

abstractRecent years have seen rapid developments in automated text analysis methods focused on measuring psychological and demographic properties. While this development has mainly been driven by computer scientists and computational linguists, such methods can be of great value for social scientists in general, and for psychologists in particular. In this paper, we review some of the most popular approaches to automated text analysis from the perspective of social scientists, and give examples of their applications in different theoretical domains. After describing some of the pros and cons of these methods, we speculate about future methodological developments, and how they might change social sciences. We conclude that, despite the fact that current methods have many disadvantages and pitfalls compared to more traditional methods of data collection, the constant increase of computational power and the wide availability of textual data will inevitably make automated text analysis a common tool for psychologists.

2020 ◽  
Vol 34 (1) ◽  
pp. 19-42
Author(s):  
David Moats

It is often claimed that the rise of so called ‘big data’ and computationally advanced methods may exacerbate tensions between disciplines like data science and anthropology. This paper is an attempt to reflect on these possible tensions and their resolution, empirically. It contributes to a growing body of literature which observes interdisciplinary collabrations around new methods and digital infrastructures in practice but argues that many existing arrangements for interdisciplinary collaboration enforce a separation between disciplines in which identities are not really put at risk. In order to disrupt these standard roles and routines we put on a series of workshops in which mainly self-identified qualitative or non-technical researchers were encouraged to use digital tools (scrapers, automated text analysis and data visualisations). The paper focuses on three empirical examples from the workshops in which tensions, both between disciplines and methods, flared up and how they were ultimately managed or settled. In order to characterise both these tensions and negotiating strategies I draw on Woolgar and Stengers’ use of the humour and irony to describe how disciplines relate to each others truth claims. I conclude that while there is great potential in more open-ended collaborative settings, qualitative social scientists may need to confront some of their own disciplinary baggage in order for better dialogue and more radical mixings between disciplines to occur.


1988 ◽  
Vol 5 (2) ◽  
Author(s):  
Mona Abul Fadl

The need for a relevant and instrumental body of knowledge that can secure the taskof historical reconstruction in Muslim societies originally inspired the da’wa for the Islamizationof knowledge. The immediate targets for this da’wa were the social sciences for obvious reasons.Their field directly impinges on the organization of human societies and as such carries intothe area of human value and belief systems. The fact that such a body of knowledge alreadyexisted and that the norms for its disciplined pursuit were assumed in the dominant practiceconfronted Muslim scholars with the context for addressing the issues at stake. How relevantwas current social science to Muslim needs and aspirations? Could it, in its present formand emphasis, provide Muslims with the framework for operationalizing their values in theirhistorical present? How instrumental is it in shaping the social foundations vital for the Muslimfuture? Is instrumentality the only criteria for such evaluations? In seeking to answer thesequestions the seeds are sown for a new orientation in the social sciences. This orientationrepresents the legitimate claims and aspirations of a long silent/silenced world culture.In locating the activities of Muslim social scientists today it is important to distinguishbetween two currents. The first is in its formative stages as it sets out to rediscover the worldfrom the perspective of a recovered sense of identity and in terms of its renewed culturalaffinities. Its preoccupations are those of the Muslim revival. The other current is constitutedof the remnants of an earlier generation of modernizers who still retain a faith in the universalityof Western values. Demoralized by the revival, as much as by their own cultural alientation,they seek to deploy their reserves of scholarship and logistics to recover lost ground. Bymodifying their strategy and revalorizing the legacy they hope that, as culture-brokers, theymight be more effective where others have failed. They seek to pre-empt the cultural revivalby appropriating its symbols and reinterpreting the Islamic legacy to make it more tractableto modernity. They blame Orientalism for its inherent fixations and strive to redress its selfimposedlimitations. Their efforts may frequently intersect with those of the Islamizing current,but should clearly not be confused with them. For all the tireless ingenuity, these effortsare more conspicuous for their industry than for their originality. Between the new breadof renovationists and the old guard of ‘modernizers’, the future of an Islamic Social Scienceclearly lies with the efforts of the former.Within the Islamizing current it is possible to distinguish three principal trends. The firstopts for a radical perspective and takes its stand on epistemological grounds. It questionsthe compatibility of the current social sciences on account of their rootedness in the paradigmof the European Enlightenment and its attendant naturalistic and positivist biases. Consistencedemands a concerted e€fort to generate alternative paradigms for a new social science fromIslamic epistemologies. In contrast, the second trend opts for a more pragmatic approachwhich assumes that it is possible to interact within the existing framework of the disciplinesafter adapting them to Islamic values. The problem with modern sciene is ethical, notepistemological, and by recasting it accordingly, it is possible to benefit from its strengthsand curtail its derogatory consequences. The third trend focuses on the Muslim scholar, rather ...


Author(s):  
Mats Alvesson ◽  
Yiannis Gabriel ◽  
Roland Paulsen

Against a generalized loss of meaning in society, social scientists find it hard to undertake relevant research that addresses problems facing our world. Science has turned from a vocation aimed at improving the lot of humanity to a careerist game dominated by publishing hits in starred journals. Instrumental rewards replace the passion for discovery and the intrinsic quest for knowledge. Competition among academics and academic institutions, such as journals, universities, and professional bodies, is not intrinsically harmful. Competition in the social sciences, however, is currently resulting in large quantities of formulaic publications, increasing specialization, faddishness, opportunism, and a general ironing out of originality and relevance. Academic authorship and the voice of individual scholars is wiped out as most papers are co-authored by several researchers, each a specialist in his or her area. The result is a devaluation of scholarship and a privileging of technical expertise in narrow disciplinary areas.


Author(s):  
Mats Alvesson ◽  
Yiannis Gabriel ◽  
Roland Paulsen

This chapter introduces ‘the problem’ of meaningless research in the social sciences. Over the past twenty years there has been an enormous growth in research publications, but never before in the history of humanity have so many social scientists written so much to so little effect. Academic research in the social sciences is often inward looking, addressed to small tribes of fellow researchers, and its purpose in what is increasingly a game is that of getting published in a prestigious journal. A wide gap has emerged between the esoteric concerns of social science researchers and the pressing issues facing today’s societies. The chapter critiques the inaccessibility of the language used by academic researchers, and the formulaic qualities of most research papers, fostered by the demands of the publishing game. It calls for a radical move from research for the sake of publishing to research that has something meaningful to say.


Is human nature something that the natural and social sciences aim to describe, or is it a pernicious fiction? What role, if any, does ‘human nature’ play in directing and informing scientific work? Can we talk about human nature without invoking—either implicitly or explicitly—a contrast with human culture? It might be tempting to think that the respectability of ‘human nature’ is an issue that divides natural and social scientists along disciplinary boundaries, but the truth is more complex. The contributors to this collection take very different stances with regard to the idea of human nature. They come from the fields of psychology, the philosophy of science, social and biological anthropology, evolutionary theory, and the study of animal cognition. Some of them are ‘human nature’ enthusiasts, some are sceptics, and some say that human nature is a concept with many faces, each of which plays a role in its own investigative niche. Some want to eliminate the notion altogether, some think it unproblematic, others want to retain it with reforming modifications. Some say that human nature is a target for investigation that the human sciences cannot do without, others argue that the term does far more harm than good. The diverse perspectives articulated in this book help to explain why we disagree about human nature, and what, if anything, might resolve that disagreement.


2017 ◽  
Vol 233 ◽  
pp. 111-136 ◽  
Author(s):  
Kyle Jaros ◽  
Jennifer Pan

AbstractXi Jinping's rise to power in late 2012 brought immediate political realignments in China, but the extent of these shifts has remained unclear. In this paper, we evaluate whether the perceived changes associated with Xi Jinping's ascent – increased personalization of power, centralization of authority, Party dominance and anti-Western sentiment – were reflected in the content of provincial-level official media. As past research makes clear, media in China have strong signalling functions, and media coverage patterns can reveal which actors are up and down in politics. Applying innovations in automated text analysis to nearly two million newspaper articles published between 2011 and 2014, we identify and tabulate the individuals and organizations appearing in official media coverage in order to help characterize political shifts in the early years of Xi Jinping's leadership. We find substantively mixed and regionally varied trends in the media coverage of political actors, qualifying the prevailing picture of China's “new normal.” Provincial media coverage reflects increases in the personalization and centralization of political authority, but we find a drop in the media profile of Party organizations and see uneven declines in the media profile of foreign actors. More generally, we highlight marked variation across provinces in coverage trends.


1949 ◽  
Vol 1 (2) ◽  
pp. 272-276 ◽  
Author(s):  
Charles Easton Rothwell

A PROJECT of collaborative research concerning major world trends affecting international relations has been launched this year at the Hoover Institute and Library. This project has been made possible by a three-year grant from the Carnegie Corporation of New York.1Beneath the original planning for the project lay the conviction born of wartime experience, that a deeper understanding of the dynamics of international relations could be obtained by pooling the contributions of the social sciences and related disciplines and by taking account of practical experience in the international field. The need for new and more penetrating approaches to international relations had been put by Arnold Toynbee in a few challenging words: “There is nothing to prevent our Western Civilization from following historical precedent, if it chooses, by committing social suicide. But we are not doomed to make history repeat itself; it is open to us through our own efforts, to give history, in our case, some new unprecedented turn.” Natural scientists, as well as social scientists are agreed that any “new unprecedented turn” must be sought in deeper understanding of relations among people and among nations.


1988 ◽  
Vol 14 (2) ◽  
pp. 149-152 ◽  
Author(s):  
Michael Nicholson

The Economic and Social Research Council recently published a Report commissioned from a committee chaired by Professor Edwards, a psychiatrist, so that the Council, and the social science community in general, might know what was good and bad in British social sciences, and where the promising future research opportunities lie over the next decade. Boldly called ‘Horizons and Opportunities in the Social Sciences’, the Report condensed the wisdom of social scientists, both British and foreign, and concludes with a broadly but not uncritically favourable picture of the British scene.


2018 ◽  
Vol 46 (1) ◽  

Damian Trilling & Jelle Boumans Automated analysis of Dutch language-based texts. An overview and research agenda While automated methods of content analysis are increasingly popular in today’s communication research, these methods have hardly been adopted by communication scholars studying texts in Dutch. This essay offers an overview of the possibilities and current limitations of automated text analysis approaches in the context of the Dutch language. Particularly in dictionary-based approaches, research is far less prolific as research on the English language. We divide the most common types of content-analytical research questions into three categories: 1) research problems for which automated methods ought to be used, 2) research problems for which automated methods could be used, and 3) research problems for which automated methods (currently) cannot be used. Finally, we give suggestions for the advancement of automated text analysis approaches for Dutch texts. Keywords: automated content analysis, Dutch, dictionaries, supervised machine learning, unsupervised machine learning


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