摘要
The ubiquitous nature of social media in today’s world offers unparalleled insights into human thinking. When people write Facebook posts, blogs, Tweet, Instagram and WeChat they allow their real feelings and reflections to be exhibited, unvarnished and unfiltered. From this perspective the use of data analytical tools such as Wordle word association mapping and other tools can truly show through frequency of word used, word connections and consumer insights. The example of farming and food production is instructive. Five years ago a new acronym GLIMPSE in IFAMR was proposed to summarize the barriers faced by agriculture in its quest to feed the world. This was based on a Delphi analysis of 25 expert interviews. In order to confirm GLIMPSE, a larger research effort interviewed 57 experts, conducted an online survey with almost 600 experts and for the first time ever in this sector algorithms were applied to over 1.3 million qualified social media postings on the internet referring to the challenge of feeding a growing world population. This allowed the comparison to confirm the factors that most clearly depict the general public’s concerns with respect to food production and agriculture. The value for policy makers is clear. While international policy makers, governments, non-governmental organizations (NGOs), charities, industry organizations, integrated food companies and farmers often struggle to explain to the general population the challenges of increasing food production of both large and small scale farming the social media analysis is unique and original in its ability to confirm the GLIMPSE framework as a manner to encompass the main challenges agriculture faces on its journey to feed over 9 billion people by 2050.
The ubiquitous nature of social media in today’s world offers unparalleled insights into human thinking. When people write Facebook posts, blogs, Tweet, Instagram and WeChat they allow their real feelings and reflections to be exhibited, unvarnished and unfiltered. From this perspective the use of data analytical tools such as Wordle word association mapping and other tools can truly show through frequency of word used, word connections and consumer insights. The example of farming and food production is instructive. Five years ago a new acronym GLIMPSE in IFAMR was proposed to summarize the barriers faced by agriculture in its quest to feed the world. This was based on a Delphi analysis of 25 expert interviews. In order to confirm GLIMPSE, a larger research effort interviewed 57 experts, conducted an online survey with almost 600 experts and for the first time ever in this sector algorithms were applied to over 1.3 million qualified social media postings on the internet referring to the challenge of feeding a growing world population. This allowed the comparison to confirm the factors that most clearly depict the general public’s concerns with respect to food production and agriculture. The value for policy makers is clear. While international policy makers, governments, non-governmental organizations (NGOs), charities, industry organizations, integrated food companies and farmers often struggle to explain to the general population the challenges of increasing food production of both large and small scale farming the social media analysis is unique and original in its ability to confirm the GLIMPSE framework as a manner to encompass the main challenges agriculture faces on its journey to feed over 9 billion people by 2050.
