Gender issues, such as that of gender stereotypes, some form of bias or the voice of a gender might be missing in the news and it is the purpose of this section to discuss the same. In the media articles that were collected, most of the articles, from news media such as the Herald, Stuff.co.nz and more are seen to have a more or less equal representation of the genders. Most of the articles are gender neutral as the news have either been presented in the blogosphere or as part of an article of a business. This news is definitely not gender sensitive news and hence gender based bias and prejudices on who has written the news and whether the use of a feminine writer would influence or enable a better construction of the news, etc, has not been considered. The dominant perspective of the news in all the collected articles is better presented in a gender neutral way.
The symbolic annihilation of women in the news is described as that aspect where when women are indeed presented in the news they are presented to perform some form of a negative role. Consider the article of Winter (2016) in which the author has presented how a child Lexi Dailey was to support the ABs in their first game against Argentina at the Wembley Stadium. However, they had a problem because the mom was scammed, she had brought tickets with a number on website and has sent around 1800$ for seven tickets. This was a fraudulent scheme. The article was considered in this writing mainly because it highlighted that scamming is not restricted to the building industry alone but that normal people outside the business arena were also getting scammed. Now in this article, the way Lexi Dailey’s mother was presented could have been taken to indicate a careless parent, specifically the mother or in a negative tone it could imply that women are getting scammed more easily. However, this article also has news reports on how men are getting scammed, and the entire news media collection that has been presented is about scamming, so the gender annihilation aspect cannot be considered here. In terms of the pictures shown in the articles, such as that of the hooded figures in the case of Ensar (2016) and Devlin (2016), there are really no ways to identify gender, and gender does not seem to be necessary for this topic either. Maybe if there are statistics to indicate that women get scammed more or either of the gender would be involved in scamming more, these data could then be presented. However, this does not seem to be the issue here.