Latest items for WAM-DATA-2
Nov. 22, 2023, 5:13 p.m.
Countries: Indonesia
Variables: WAM-DATA-2
"Tempo magazine reported that two state high schools in Yogyakarta, SMPN7 and SMPN11, had compelled Muslim girl students to wear long-sleeve shirts, long skirts, and the jilbab" (38).
Variables: WAM-DATA-2
"Tempo magazine reported that two state high schools in Yogyakarta, SMPN7 and SMPN11, had compelled Muslim girl students to wear long-sleeve shirts, long skirts, and the jilbab" (38).
Aug. 15, 2023, 5:22 p.m.
Countries: Bahamas
Variables: WAM-DATA-2
""The government did not restrict [women's] access to the internet or censor online content" (7).
Variables: WAM-DATA-2
""The government did not restrict [women's] access to the internet or censor online content" (7).
July 10, 2023, 9:26 p.m.
Countries: Maldives
Variables: WAM-DATA-2
"Women and men are well connected throughout the islands, with 96% of females and 78% of men having mobile phones (2014), with connectivity and use of smart phones now very common regardless how remote the island. The Government will do more in the coming years to use mobile applications to not only raise awareness on these issues, but to understand the attitudes and practices pertaining to GE and DV on the islands." (29).
Variables: WAM-DATA-2
"Women and men are well connected throughout the islands, with 96% of females and 78% of men having mobile phones (2014), with connectivity and use of smart phones now very common regardless how remote the island. The Government will do more in the coming years to use mobile applications to not only raise awareness on these issues, but to understand the attitudes and practices pertaining to GE and DV on the islands." (29).
Feb. 24, 2023, 12:54 p.m.
Countries: Nepal
Variables: WAM-DATA-2
"For mobilizing media to increase the participation and access of women to voice and expression, the Information Technology Policy has been implemented since 2011. Given the powerful role of the media in respect to gender equality and the empowerment of women, the policy aims to increase access of women and other deprived, rural and marginalized communities to information technology and meaningful use of media." (42).
Variables: WAM-DATA-2
"For mobilizing media to increase the participation and access of women to voice and expression, the Information Technology Policy has been implemented since 2011. Given the powerful role of the media in respect to gender equality and the empowerment of women, the policy aims to increase access of women and other deprived, rural and marginalized communities to information technology and meaningful use of media." (42).
June 28, 2022, 2:56 p.m.
Countries: Bangladesh
Variables: WAM-DATA-2
"Almost all households (94%) have a mobile phone. Fifty-nine percent of residents age 13 and over own a mobile phone (74% of male residents and 47% of female residents)" (9). " Seventy-four percent of male residents and 47% of female residents age 13 and older have a mobile phone" (12). "Television is the most accessed form of media, which increased from 47% in 2007 to 55%. Listening to the radio has decreased markedly since 2007, from 19% to 2%. Forty-four percent of ever-married women have no regular exposure to any mass media" (29). "Ever-married women age 15-49 were asked about their exposure to three types of mass media: television, radio,...more
Variables: WAM-DATA-2
"Almost all households (94%) have a mobile phone. Fifty-nine percent of residents age 13 and over own a mobile phone (74% of male residents and 47% of female residents)" (9). " Seventy-four percent of male residents and 47% of female residents age 13 and older have a mobile phone" (12). "Television is the most accessed form of media, which increased from 47% in 2007 to 55%. Listening to the radio has decreased markedly since 2007, from 19% to 2%. Forty-four percent of ever-married women have no regular exposure to any mass media" (29). "Ever-married women age 15-49 were asked about their exposure to three types of mass media: television, radio,...more
Jan. 7, 2022, 10:43 a.m.
Countries: Somalia
Variables: WAM-DATA-2
"Hawo Tako, a prominent Somali activist. There is a statue in her honor in front of the National Theatre. She is also pictured on the 100 shilling bill" (1).
Variables: WAM-DATA-2
"Hawo Tako, a prominent Somali activist. There is a statue in her honor in front of the National Theatre. She is also pictured on the 100 shilling bill" (1).
Dec. 31, 2020, 2:32 p.m.
Countries: Iran
Variables: WAM-DATA-2
"In a shocking video, which has been circulating on social media, a man stops his car and gets out before hurling abuse at the youngsters...The video shows, as tensions between the man and the teenagers grow, the man's wife gets out of the car and says 'apologise to my husband so he won't hit you'...The girls sent the video to Alinejad and told her they decided to film the incident after it was clear the police were not going to help them" (para 2, 5, 10). "The US-based activist started an anti-headscarf campaign - White Wednesdays - encouraging women to post photographs of themselves without headscarves online as a way...more
Variables: WAM-DATA-2
"In a shocking video, which has been circulating on social media, a man stops his car and gets out before hurling abuse at the youngsters...The video shows, as tensions between the man and the teenagers grow, the man's wife gets out of the car and says 'apologise to my husband so he won't hit you'...The girls sent the video to Alinejad and told her they decided to film the incident after it was clear the police were not going to help them" (para 2, 5, 10). "The US-based activist started an anti-headscarf campaign - White Wednesdays - encouraging women to post photographs of themselves without headscarves online as a way...more
Sept. 28, 2020, 3:33 p.m.
Countries: Zimbabwe
Variables: WAM-DATA-2
"On January 15, the government instructed internet service providers to shut down access to social media and the internet. Access was restored on January 21" (para 3).
Variables: WAM-DATA-2
"On January 15, the government instructed internet service providers to shut down access to social media and the internet. Access was restored on January 21" (para 3).
Aug. 26, 2020, 1:29 p.m.
Countries: D R Congo
Variables: WAM-DATA-2, DV-PRACTICE-2
“My name is Julienne Lusenge and I’m an activist for women’s rights in the DRC…There are offices which still have no computers today and many women can’t even communicate on the phone. They don’t have credit even if they have phones. So we live and work in a situation of precariousness and that makes us insecure. When you work in a climate of insecurity you don’t know how to protect yourself, but when you have a phone you can call someone and that can help to protect you. For example we have set up an alert system; women will send text messages and then I send an email to one...more
Variables: WAM-DATA-2, DV-PRACTICE-2
“My name is Julienne Lusenge and I’m an activist for women’s rights in the DRC…There are offices which still have no computers today and many women can’t even communicate on the phone. They don’t have credit even if they have phones. So we live and work in a situation of precariousness and that makes us insecure. When you work in a climate of insecurity you don’t know how to protect yourself, but when you have a phone you can call someone and that can help to protect you. For example we have set up an alert system; women will send text messages and then I send an email to one...more
Aug. 12, 2020, 3:12 p.m.
Countries: Mauritania
Variables: WAM-DATA-2
"The government severed mobile internet service for 10 days on June 23, one day after the presidential elections. While fixed-line internet service was still available in some offices and businesses, most Mauritanians could not access it because they rely on their phones for internet access" (para 7).
Variables: WAM-DATA-2
"The government severed mobile internet service for 10 days on June 23, one day after the presidential elections. While fixed-line internet service was still available in some offices and businesses, most Mauritanians could not access it because they rely on their phones for internet access" (para 7).
July 19, 2020, 1:45 p.m.
Countries: Nepal
Variables: WAM-DATA-2
"Television is the most commonly accessed form of media among both women (50%) and men (51%). Men are more likely than women to be exposed to the other two forms of media: 22% of men and 9% of women read a newspaper, while 36% of men and 28% of women listen to the radio. Thirty-seven percent of women and 31% of men have no access to any of the three media" (45). "Overall, 23% of women and 47% of men age 15-49 reported having used the Internet in the past 12 months. Among those who had used the Internet in the past 12 months, more than half of women and...more
Variables: WAM-DATA-2
"Television is the most commonly accessed form of media among both women (50%) and men (51%). Men are more likely than women to be exposed to the other two forms of media: 22% of men and 9% of women read a newspaper, while 36% of men and 28% of women listen to the radio. Thirty-seven percent of women and 31% of men have no access to any of the three media" (45). "Overall, 23% of women and 47% of men age 15-49 reported having used the Internet in the past 12 months. Among those who had used the Internet in the past 12 months, more than half of women and...more
July 3, 2020, 4:25 p.m.
Countries: Zambia
Variables: WAM-DATA-2
"Radio is the dominant medium of information for men, whereas television is the most dominant medium for women: 56% of men age 15-49 listen to the radio and 38% of women watch television at least once a week. Men are more likely (13%) than women (5%) to access all three forms of media (newspaper, television, and radio) on a weekly basis. Forty-six percent of women and 31% of men do not access any of the three media on a weekly basis. The internet is also a critical tool through which people access and share information. Internet use includes accessing web pages, email, and social media. Among all women and men...more
Variables: WAM-DATA-2
"Radio is the dominant medium of information for men, whereas television is the most dominant medium for women: 56% of men age 15-49 listen to the radio and 38% of women watch television at least once a week. Men are more likely (13%) than women (5%) to access all three forms of media (newspaper, television, and radio) on a weekly basis. Forty-six percent of women and 31% of men do not access any of the three media on a weekly basis. The internet is also a critical tool through which people access and share information. Internet use includes accessing web pages, email, and social media. Among all women and men...more
June 22, 2020, 7:56 p.m.
Countries: Afghanistan
Variables: WAM-DATA-2
" access to a TV set was generally restricted to a few richer households. With electricity often restricted to a couple of hours a day, sets could end up being monopolised by male household members" (pg 53).
Variables: WAM-DATA-2
" access to a TV set was generally restricted to a few richer households. With electricity often restricted to a couple of hours a day, sets could end up being monopolised by male household members" (pg 53).
June 5, 2020, 1:19 p.m.
Countries: Papua New Guinea
Variables: WAM-DATA-2
"Mobile phones are common; in 56% of households, someone reports ownership. Slightly less than one-quarter of households own a radio (24%), while 13% own a television, and 11% own a computer" (10). "By far the greatest change among households owning durable goods has been in telephone coverage. In 2006, only 4% of households had a telephone, while in 2016-18, 56% of households have a mobile phone and 2% have a non-mobile phone. The proportion of households with a radio has decreased slightly, from 33% in 2006 to 24% in 2016-18. However..the proportion owning a television has increased from 9% to 13% over the same time period" (10). "Media coverage is...more
Variables: WAM-DATA-2
"Mobile phones are common; in 56% of households, someone reports ownership. Slightly less than one-quarter of households own a radio (24%), while 13% own a television, and 11% own a computer" (10). "By far the greatest change among households owning durable goods has been in telephone coverage. In 2006, only 4% of households had a telephone, while in 2016-18, 56% of households have a mobile phone and 2% have a non-mobile phone. The proportion of households with a radio has decreased slightly, from 33% in 2006 to 24% in 2016-18. However..the proportion owning a television has increased from 9% to 13% over the same time period" (10). "Media coverage is...more
May 31, 2020, 6:36 p.m.
Countries: India
Variables: WAM-DATA-2
"Men are more likely than women to be exposed to any and all forms of media, including newspapers, television, radio, and the cinema (Figure 3.3). Television is the most common form of media exposure for both women and men across all subgroups, followed by newspapers or magazines. Some women and men do not access to any of the four media at least on a weekly basis (25% of women and 14% of men)" (55). "Women age 15-49 were asked if they had a mobile phone that they themselves use. In addition, women who said they had a mobile phone were asked if they can read text messages. About half of...more
Variables: WAM-DATA-2
"Men are more likely than women to be exposed to any and all forms of media, including newspapers, television, radio, and the cinema (Figure 3.3). Television is the most common form of media exposure for both women and men across all subgroups, followed by newspapers or magazines. Some women and men do not access to any of the four media at least on a weekly basis (25% of women and 14% of men)" (55). "Women age 15-49 were asked if they had a mobile phone that they themselves use. In addition, women who said they had a mobile phone were asked if they can read text messages. About half of...more
May 25, 2020, 5:12 p.m.
Countries: Kuwait
Variables: WAM-DATA-2
2018, age 12-75, 99.6% all, 99.5% male, 99.8% female
Variables: WAM-DATA-2
2018, age 12-75, 99.6% all, 99.5% male, 99.8% female
May 25, 2020, 5:12 p.m.
Countries: Serbia
Variables: WAM-DATA-2
2018, age 16-74, 73.4% all, 76.8% male, 70.1% female
Variables: WAM-DATA-2
2018, age 16-74, 73.4% all, 76.8% male, 70.1% female
May 25, 2020, 5:12 p.m.
Countries: United Arab Emirates
Variables: WAM-DATA-2
2018, age 15-74, 98.5% all, 98.3% male, 98.8% female
Variables: WAM-DATA-2
2018, age 15-74, 98.5% all, 98.3% male, 98.8% female
May 25, 2020, 5:12 p.m.
Countries: Japan
Variables: WAM-DATA-2
2018, age 6+, 91.3% all, 93.7% male, 89% female
Variables: WAM-DATA-2
2018, age 6+, 91.3% all, 93.7% male, 89% female
May 25, 2020, 5:12 p.m.
Countries: Slovakia
Variables: WAM-DATA-2
2018, age 12-74, 80.7% all, 80.7% male, 80.6% female
Variables: WAM-DATA-2
2018, age 12-74, 80.7% all, 80.7% male, 80.6% female
May 25, 2020, 5:12 p.m.
Countries: Czech Republic
Variables: WAM-DATA-2
2018, age 16+, 80.7% all, 82.8% male, 78.7% female
Variables: WAM-DATA-2
2018, age 16+, 80.7% all, 82.8% male, 78.7% female
May 25, 2020, 5:12 p.m.
Countries: Qatar
Variables: WAM-DATA-2
2019, age 15+, 99.7% all, 100% male, 99.3% female
Variables: WAM-DATA-2
2019, age 15+, 99.7% all, 100% male, 99.3% female
May 25, 2020, 5:12 p.m.
Countries: Mauritius
Variables: WAM-DATA-2
2018, age 5+, 58.6% all, 60.9% male, 56.4% female
Variables: WAM-DATA-2
2018, age 5+, 58.6% all, 60.9% male, 56.4% female
May 25, 2020, 5:12 p.m.
Countries: Malta
Variables: WAM-DATA-2
2018, age 16-74, 81.7% all, 81.6% male, 81.7% female
Variables: WAM-DATA-2
2018, age 16-74, 81.7% all, 81.6% male, 81.7% female
May 25, 2020, 5:12 p.m.
Countries: Peru
Variables: WAM-DATA-2
2018, age 6+, 52.5% all, 55.2% male, 49.9% female
Variables: WAM-DATA-2
2018, age 6+, 52.5% all, 55.2% male, 49.9% female
May 25, 2020, 5:12 p.m.
Countries: Israel
Variables: WAM-DATA-2
2018, age 20+, 83.7% all, 84.9% male, 82.6% female
Variables: WAM-DATA-2
2018, age 20+, 83.7% all, 84.9% male, 82.6% female
May 25, 2020, 5:12 p.m.
Countries: United States
Variables: WAM-DATA-2
2017, age 3+, 87.3% all
Variables: WAM-DATA-2
2017, age 3+, 87.3% all
May 25, 2020, 5:12 p.m.
Countries: Nigeria
Variables: WAM-DATA-2
2017, all population, 7.5% all, 8.6% male, 6.4% female
Variables: WAM-DATA-2
2017, all population, 7.5% all, 8.6% male, 6.4% female
May 25, 2020, 5:12 p.m.
Countries: Lithuania
Variables: WAM-DATA-2
2018, age 16-74, 79.7% all, 79.5% male, 79.9% female
Variables: WAM-DATA-2
2018, age 16-74, 79.7% all, 79.5% male, 79.9% female
May 25, 2020, 5:12 p.m.
Countries: Belgium
Variables: WAM-DATA-2
2018, age 16-74, 88.7% all, 90.1% male, 87.3% female
Variables: WAM-DATA-2
2018, age 16-74, 88.7% all, 90.1% male, 87.3% female