Predicting Depression via Social Media
Citations
3,299 citations
570 citations
Cites background or methods or result from "Predicting Depression via Social Me..."
...Social engagement has been correlated with positive mental health outcomes (Greetham et al., 2011; Berkman et al., 2000; Organization, 2001; De Choudhury et al., 2013d), which is difficult to measure directly so we examine various ways in which this may be manifest in a user’s tweet stream: Tweet…...
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...Previous work has found signal in the ‘positive affect’ and ‘negative affect’ categories of the LIWC when applied to social media (including Twitter), so we examine their correlations separately, as well as in the context of other LIWC categories (De Choudhury et al., 2013a)....
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...Such topics have already been the focus of several studies (Coppersmith et al., 2014; De Choudhury et al., 2014; De Choudhury et al., 2013d; De Choudhury et al., 2013b; De Choudhury et al., 2013c; Ayers et al., 2013)....
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...Similarly, an increase in negative emotion and first person pronouns, and a decrease in third person pronouns, (via LIWC) is observed, as well as many manifestations of literature findings in the pattern of life of depressed users (e.g., social engagement, demographics) (De Choudhury et al., 2013d)....
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...…significant differences between depressed users (according to an internetadministered diagnostic battery): significant increases are expected in NegEmo, Anger, Pro1 and Pro3 and no change in PosEmo, given all previous work (Park et al., 2012; Chung and Pennebaker, 2007; De Choudhury et al., 2013d)....
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513 citations
Cites background from "Predicting Depression via Social Me..."
...Linguistic attributes of shared content and social interactional patterns have been utilized to understand and infer risk to major depressive disorder [24, 49, 32, 16, 60, 70], postpartum depression [21, 22], addiction [47, 44], and other mental health concerns [35, 18, 17, 46]....
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492 citations
451 citations
Cites result from "Predicting Depression via Social Me..."
...In a large sample of Twitter users, rates of depression were consistent with geographical, demographic, and seasonal patterns reported by the US Centers for Disease Control and Prevention (CDC) (De Choudhury et al. 2013a)....
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References
108 citations
"Predicting Depression via Social Me..." refers background in this paper
...further focused on users who reported to have suffered from at least two depressive episodes during the one-year period, so as to qualify for MDD (Posternak et al., 2006)....
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...In this set, we further focused on users who reported to have suffered from at least two depressive episodes during the one-year period, so as to qualify for MDD (Posternak et al., 2006)....
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...Moreover, lower activation relative to the nondepression class (11% lower; p<.01) may indicate loneliness, restlessness, exhaustion, lack of energy, and sleep deprivation, all of which are known to be consistent depression symptoms (Rabkin & Struening, 1976; Posternak et al., 2006)....
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...01) may indicate loneliness, restlessness, exhaustion, lack of energy, and sleep deprivation, all of which are known to be consistent depression symptoms (Rabkin & Struening, 1976; Posternak et al., 2006)....
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...We observe that words about Symptoms dominate, indicating details about sleep, eating habits, and other forms of physical ailment—all of which are known to be associated with occurrence of a depressive episode (Posternak et al., 2006)....
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62 citations
"Predicting Depression via Social Me..." refers background in this paper
...Next, we note that, one of the main characteristics of depression is disturbed cognitive processing of information as indexed by disturbed startle reflex modulation, as well as a reduced sense of interest or motivation in day-to-day activities (Billings et al., 1984; Oxman et al., 1982)....
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52 citations
"Predicting Depression via Social Me..." refers background in this paper
...Although 87% of the world’s governments offer some primary care health services to tackle mental illness, 30% do not have programs, and 28% have no budget specifically identified for mental health (Detels, 2009)....
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...However, global provisions and services for identifying, supporting, and treating mental illness of this nature have been considered as insufficient (Detels, 2009)....
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37 citations
"Predicting Depression via Social Me..." refers background in this paper
...Among a variety of somatic factors, reduced energy, disturbed sleep, eating disorders, and stress and tension have also been found to be correlates of depressive disorders (Abdel-Khalek, 2004)....
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