Content Analysis on Instagram | Practical Lab | Ana Marta M. Flores | скачать в хорошем качестве

Content Analysis on Instagram | Practical Lab | Ana Marta M. Flores |

Content analysis on Instagram slides: http://bit.ly/instagram_AMF About the practical lab: What kind of questions can one answer having access to Instagram data? We are going to work with metrics (likes count, comment count, captions, etc.) and content (image URLs, time/date, captions) from a specific Instagram dataset. To do so, we will start organizing and cleaning the dataset using some shortcuts and cell formulas on Google Spreadsheets. Then, we will perform a preliminary content analysis by identifying and combining: (1) visual patterns/categories on the dataset; (2) high and low engagement posts, and (3) most frequently used emojis. Finally, we will develop graphs with this same dataset on Raw Graphs. Visualizations such as treemap (hierarchy), streamgraph (time series), or alluvial diagram (multi categorical) can be built to better present the findings. Participants must have a basic knowledge of Google Spreadsheets. Web-based and open tools such as Text Analysis and Raw Graphs will be used in this Practical Lab.