Self-Confidence and Gender Gaps in Political Interest, Attention, and Efficacy

<p>Attar believes that some health standards and different hygienic methods should be taught to children. Although teaching the methods of healthcare and well-being is among the necessities of life, child’s understanding and intelligence should not be ignored. There is no doubt that religious give great importance to health issues and even emphasize that they should be taught to children. Dealing with appearance causes that their truth-seeking spirit is misled. Accordingly, Sufism recommends people to abandon appearance and deal with the interior. In the stages of growth, child’s mental images are related to sensory issues. He gradually understands lighting, heating and other things that are exposed to his senses and realizes their differences. Formation of mental images and attention to their differences are related to the growth and complexity of the child’s nerves and experience. Affection and kindness to children is desirable. But parents and educators should know that going to extremes in this case is harmful. Attar believes that loving the children excessively causes that he is brought up as a weak and powerless person and loses his self-confidence. So, he shows weakness in the face of problems. But if he is educated with moderation, he will act accordingly. Too much attention to children makes them timid. Treating the children with justice and fairness is one of the Divine attributes. According to Attar, parents should not discriminate between their children and should deal with them justly in all aspects just as you like to be treated with justice in all situations. In many educational books, it is said that the apparent treatment of parents with children may vary according to their age and gender and this is difference rather than discrimination. Attar states that we should act carefully and accurately. These differences should not make parents not act fairly in loving children, but they should justify the children that if they were in such a situation, they would receive the same treatment. Discrimination and injustice in the family, whether tangible or intangible, cause that children feel contempt and become alienated from their family and education.</p>

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Using Facebook Ad Data to Track the Global Digital Gender Gap

10.31235/osf.io/rkvb3 ◽

2018 ◽

Author(s):

Masoomali Fatehkia ◽

Ridhi Kashyap ◽

Ingmar Weber

Keyword(s):

Mobile Phone ◽

Gender Gap ◽

Low Income ◽

Low Income Countries ◽

Gender Gaps ◽

Mobile Access ◽

Country Level ◽

Highly Correlated ◽

And Gender ◽

Official Data

Gender equality in access to the internet and mobile phones has become increasingly recognised as a development goal. Monitoring progress towards this goal however is challenging due to the limited availability of gender-disaggregated data, particularly in low-income countries. In this data sparse context, we examine the potential of a source of digital trace `big data' -- Facebook's advertisement audience estimates -- that provides aggregate data on Facebook users by demographic characteristics covering the platform's over 2 billion users to measure and `nowcast' digital gender gaps. We generate a unique country-level dataset combining `online' indicators of Facebook users by gender, age and device type, `offline' indicators related to a country's overall development and gender gaps, and official data on gender gaps in internet and mobile access where available. Using this dataset, we predict internet and mobile phone gender gaps from official data using online indicators, as well as online and offline indicators. We find that the online Facebook gender gap indicators are highly correlated with official statistics on internet and mobile phone gender gaps. For internet gender gaps, models using Facebook data do better than those using offline indicators alone. Models combining online and offline variables however have the highest predictive power. Our approach demonstrates the feasibility of using Facebook data for real-time tracking of digital gender gaps. It enables us to improve geographical coverage for an important development indicator, with the biggest gains made for low-income countries for which existing data are most limited.

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