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[Addition to Fashion Trend Subheading from Fashion Article]

Fashion trends are created by color prospects proposed by fashion forecasters which are then put on the market two years after selection.[1] If being sold on the market in less than two years, forecasters look for trends that will represent current societal interests, cultural backgrounds, and the values and ideas of the consumer. [2] As fashion trends become increasingly more popular, people want something new to replace it, meaning trends are often quick to go. [3] Inspiration for trends are drawn upon by fashion forecasters, who look to art, music, pop culture, media, and technology for ideas on upcoming trends. [4]



Fashion in Social Media

Social media provides a platform where a universal audience can view and engage with fashion from all over the world. This has given rise to social media fashion influencers, who are individuals with a large enough following and online presence to deliver fashion content effectively yet aesthetically through posts of themselves wearing the merchandise. [5] Their large audience can quickly turn a fashion piece into a fashion trend, making social media fashion influencers a popular choice for fashion brands and companies to promote and sell their product through. Instagram, a popular photo-sharing app, was deemed the most powerful domain for fashion insight and influencing others to hop on fashion trends. [6] These platforms allow consumers to follow their fashion brand and it provides the brand an opportunity to create an identity of it's own for consumers to know and follow.

References[edit]

  1. ^ Furukawa, Takao; Miura, Chikako; Mori, Kaoru; Uchida, Sou; Hasegawa, Makoto (2019-03-22). "Visualisation for analysing evolutionary dynamics of fashion trends". International Journal of Fashion Design, Technology and Education. 12 (2): 247–259. doi:10.1080/17543266.2019.1587789. ISSN 1754-3266.
  2. ^ Furukawa, Takao; Miura, Chikako; Mori, Kaoru; Uchida, Sou; Hasegawa, Makoto (2019-03-22). "Visualisation for analysing evolutionary dynamics of fashion trends". International Journal of Fashion Design, Technology and Education. 12 (2): 247–259. doi:10.1080/17543266.2019.1587789. ISSN 1754-3266.
  3. ^ Zhao, Li; Li, Muzhen; Sun, Peng (2020-12-28). "Neo-Fashion: A Data-Driven Fashion Trend Forecasting System using Machine Learning through Catwalk Analysis". Pivoting for the Pandemic. Iowa State University Digital Press. doi:10.31274/itaa.12062.
  4. ^ Zhao, Li; Li, Muzhen; Sun, Peng (2020-12-28). "Neo-Fashion: A Data-Driven Fashion Trend Forecasting System using Machine Learning through Catwalk Analysis". Pivoting for the Pandemic. Iowa State University Digital Press. doi:10.31274/itaa.12062.
  5. ^ Quelhas-Brito, Pedro; Brandão, Amélia; Gadekar, Mahesh; Castelo‐Branco, Sofia (2020-05-06). "Diffusing fashion information by social media fashion influencers: understanding antecedents and consequences". Journal of Fashion Marketing and Management: An International Journal. 24 (2): 137–152. doi:10.1108/jfmm-09-2019-0214. ISSN 1361-2026.
  6. ^ Chu, Shu-Chuan; Seock, Yoo-Kyoung (2020-05-03). "The Power of Social Media in Fashion Advertising". Journal of Interactive Advertising. 20 (2): 93–94. doi:10.1080/15252019.2020.1802955. ISSN 1525-2019.