Background: Many studies have showed that social inequalities continue being when people have access to Internet. At the present time, it seems necessary to study the inequalities that Internet can generate among people who already have access to it (Castaño et al., 2012). this second gender gap (Hargittai, 2002) and / or digital divide (Dimaggio et al., 2004), which refers to the skills and intended use (Dimaggio et al., 2004; Selwyn, 2010; van Dijk, 2005; Warschauer, 2008) appears to be influenced by variables such as age, gender, education level, socioeconomic status or geographic location (Bonfadelli, 2002; Hargittai, 2010; Hargittai y Hinnant, 2008; van Dijk, 2006; Warschauer, 2008; Zillien y Hargittai, 2009). Many studies have shown gender differences in the uses and relationships of people with technologies (Wasserman & Richmond-Abbott, 2005; Hilbert, 2011), however web 2.0 and, especially, social networking has changed the presence and participation of women in virtual environments. Some studies reveal that social networking activities related to maintaining contact with friends and family are led mainly by women (Clipson, Wilson y DuFrene, 2010; Caldevilla, 2010; Junco, Merson y Salter, 2010). Although some previous studies have analyzed online social relationships as potential sources of social support and its relationship to psychological well-being (Fuente, Herrero y Gracia, 2010; Herrero y Gracia, 2007), few have focused on studying the impact of perceived social support in digital immersion of women in online social networks. In this paper we study how perceived social support influences the digital inclusion of women in rural areas in online social networks. Specifically, we hypothesized that the type of perceived social support influences the level of digital inclusion of women in social networks.

Aims:  1)To know the level of digital immersion of rural women in Andalusia (Spain); 2) To study the differences in the level of rural women's digital immersion in accordance with the age and educational level; 3) To analyze a predictive model between perceived social support and digital immersion.

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