London – Researchers, in a study of the Research Programme on Biomedical Informatics (GRIB) from Universitat Pompeu Fabra (UPF) and Hospital del Mar Medical Research Institute (IMIM) in Barcelona, Spain, have found that an analysis of tweets could reveal if anti-depressant drugs are having the desired impact on the patients. The study has identified behavioural and linguistic changes in tweets in Spanish published by users suffering from depression and who are taking medication to treat this disease. Angela Leis from the Research Programme on Biomedical Informatics said: “We can state that the behavioural patterns of people who are on treatment with anti-depressant drugs change and tend to resemble those of people who do not suffer from depression.” Depression is one of the most widespread mental illnesses. According to the World Health Organization (WHO), it affects more than 322 million people of all age groups and is one of the leading causes of disability worldwide. The possibility of analysing massive data shared on social networks provides new opportunities to understand the behaviour of their users better.