The influence of cultural background on people’s privacy decisions is widely recognized. However, a cross-cultural approach to predicting privacy decisions is still lacking. Our paper presents a first integrated cross-cultural privacy prediction model that merges cultural, demographic, attitudinal and contextual prediction. The model applies supervised machine learning to users’ decisions on th...

Academic writing ability is an important goal that learners of English as a Second Language (ESL) or English as a Foreign Language (EFL) try to attain. While ESL students’ academic writings have been widely explored, owing to few studies investigating appraisal resources in EFL students’ argumentative writing, the gap still exists about EFL students’ academic writing. This study aimed to see ho...

Ideological scaling methods have shown that behavioral traces in social platforms can be used to mine opinions at a massive scale. Current exploit one-dimensional left–right opinion scales, best suited for two-party socio-political systems and binary divides such as those observed the US. In this article, we introduce new method overcome limitations of existing by producing multidimensional net...

This paper describes experiments to use non-terminological information to find attitudinal expressions in written English text. The experiments are based on an analysis of text with respect to not only the vocabulary of content terms present in it (which most other approaches use as a basis for analysis) but also on structural features of the text as represented by presence of form words (in ot...

While a number of studies have examined gender preferences for children by studying behavioral measures, such as skewed sex ratios, sex imbalance in infant mortality, and sibling size/order; attitudinal measures have been analyzed less systematically. Using 50 Demographic and Health Surveys conducted between 2000 and 2008, this paper seeks to advance our understanding of gender preferences in d...