The Best Parameters to Select Instagram Account for Endorsement using Web Scraping

Akrianto, Muhammad Ichwandar; Hartanto, Anggit Dwi; Priadana, Adri

doi:10.1109/icitisee48480.2019.9004038

Cited by 12 publications

(11 citation statements)

References 8 publications

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“…But many Instagram accounts have fake accounts. This study can detect and classify genuine followers and fake followers using web scraping [17].…”

Section: A Campaign In Social Mediamentioning

confidence: 99%

A Decision Guidance for Solving Success Rate Political Campaign Using Distance Weighted kNN in Nassi-Shneiderman Framework

Nugroho¹,

Sumpeno²,

Fujisawa³

et al. 2021

IJIES

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Campaigns on online social media are becoming intriguing because all parties can compete with each other. Various content can be created to support or defeat one another. Interaction is important to control the battlefield in the face of disinformation. The campaign team must be able to increase interaction and reporting it as a form of achievement. The reality is that the campaign team has not been able to provide a measurable report on the success rate of political campaign interaction on social media. This is because there is no standardization in measuring these interactions. This fact inspires to build a model for measuring campaign interaction on social media. This model will be able to help the campaign team. This study uses a dataset from a governor election campaign in Indonesia which is then tested on a presidential election campaign dataset in America. The model was built using machine learning with the k classification method Nearest Neighbor (kNN) and Distance Weight kNN (DWkNN). The research stages were arranged using the Nassi-Shneiderman Framework. This framework describes the stages and comparison of the use of the KNN and the DWkNN from the training to testing stages in an easy to understand manner. The kNN and DWkNN training stages showed excellent accuracy results of nearly 100%. Furthermore, at the testing stage using the crossvalidation method with a variety of fold 5 to 20 variations showed excellent results, namely 99.89% on the governor election dataset and a range of 98% on the American presidential election dataset. This classification model has been tested using several datasets from several candidate social media accounts. We also created a dataset campaign interaction. This study shows that the proposed model can outperform previous studies. So, that it provides novelty in the form of a campaign interaction guide model for the campaign team.

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“…But many Instagram accounts have fake accounts. This study can detect and classify genuine followers and fake followers using web scraping [17].…”

Section: A Campaign In Social Mediamentioning

confidence: 99%

A Decision Guidance for Solving Success Rate Political Campaign Using Distance Weighted kNN in Nassi-Shneiderman Framework

Nugroho¹,

Sumpeno²,

Fujisawa³

et al. 2021

IJIES

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“…Endorsement merupakan salah metode yang paling populer yang diterapkan untuk mempromosikan suatu produk (Prabowo & Purwarianti, 2018). Metode endorsement merupakan metode yang dilakukan dengan cara mencari public figure dengan jumlah follower yang besar untuk memposting gambar produk mereka di akun Instagram-nya (Akrianto et al, 2019). Selebriti adalah salah satu tokoh yang menyediakan layanan endorsement untuk mempromosikan suatu produk (Wei & Lu, 2013).…”

Section: Tabel 4 Data Hasil Aggregation Berdasarkan Hariunclassified

Analisis Waktu Terbaik untuk Menerbitkan Konten di Instagram untuk Menjangkau Audiens

Priadana

Murdiyanto

2020

j. penelit. pers dan komun. pembang.

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Instagram is a social media that allows us to easily promote products where one of them is done by publishing promotional content. However, posting promotional material at the right time to get an optimal response from the audience is a complex problem. This study aims to analyze the best publishing time to publish promotional content from 10 open trip service provider accounts on the Instagram platform. Researchers use the web scraping method to extract data from Instagram accounts and the aggregation, ordering, and selecting methods to analyze the best time. The basis used to determine the best time is the number of likes and comments on all posts. This research has succeeded in extracting Instagram's web data and analyzing post data from several Instagram accounts of open trip service providers. The results of this study indicate that each account has a different best time to publish content. For example, the best time to post content from an Instagram @hvtrip account is Friday between 20:00 and 20.59. The study can be used as a recommendation for Instagram account holders of open trip service providers regarding the best time to publish promotional content on Instagram to reach an optimal audience. Of course, this is not limited to Instagram accounts open service providers only. Keywords: social media analytics, Instagram data, marketing, open trip services, the best time ABSTRAK Instagram merupakan salah satu media sosial yang memungkinkan kita untuk mempromosikan produk dengan mudah dimana salah satunya dilakukan dengan cara menerbitkan konten promosi. Akan tetapi, penerbitan konten prosmosi pada waktu yang tepat untuk mendapatkan tanggapan dari audiens secara optimal merupakan masalah yang kompleks. Penelitian ini bertujuan menganalisis waktu penerbitan terbaik untuk menerbitkan konten promosi dari 10 akun penyedia jasa open trip pada platform Instagram. Peneliti menggunakan metode web scraping untuk mengekstrak data dari akun Instagram dan metode aggregation, ordering, dan selecting untuk menganalisis waktu terbaik. Dasar yang digunakan untuk menentukan waktu terbaik adalah jumlah suka dan komentar pada semua post. Penelitian ini telah berhasil mengekstraksi data web Instagram dan melakukan analisis data post dari beberapa akun Instagram penyedia jasa open trip. Hasil penelitian ini menunjukkan bahwa setiap akun memiliki waktu terbaik yang berbeda-beda untuk menerbitkan konten. Sebagai contoh, waktu terbaik untuk menerbitkan konten dari akun Instagram @hvtrip adalah hari Jumat antara jam 20.00 sampai jam 20.59. Hasil dari penelitian ini dapat dijadikan sebagai sebuah rekomendasi bagi pemilik akun Instagram penyedia jasa open trip mengenai waktu terbaik untuk menerbitkan konten promosi pada Instagram untuk menjangkau audiens secara optimal. Tentunya, hal ini tidak terbatas pada akun Instagram penyedia jasa open trip saja. Kata kunci: analisis media sosial, data Instagram, pemasaran, jasa open trip, waktu terbaik

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“…This study's Instagram account parameter include the number of followers, the number of likes, the number of comets, and posts that are always updated. The determination of the best parameters for selecting the Endorse account on Instagram has been successfully carried out, as shown by the system accuracy of 75% [2]. The Instagram platform plays an increasingly central role in social media, essential for users to interact or communicate.…”

Section: Introductionmentioning

confidence: 99%

Sentiment Analysis on Government Performance in Tourism During The COVID-19 Pandemic Period With Lexicon Based

Priadana

Rizal²

2021

CAUCHY

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The COVID-19 pandemic impact has affected all industries in Indonesia and even the world, including the tourism industry. Researchers have a role in researching to answer the needs of the tourism industry, especially in making tourism and business destination management programs and carrying out activities oriented to meet the needs of the tourism industry. Meanwhile, the government has a role in making policies, especially in the roadmap, for developing the tourism industry. This study aims to track trending topics in social media Instagram since COVID-19 hit. The results of trending topics will be classified by sentiment analysis using a Lexicon-based and Naive Bayes Classifier. Based on Instagram data taken since January 2020, it shows the five highest topics in the tourism sector, namely health protocols, hotels, homes, streets, and beaches. Of the five topics, sentiment analysis was carried out with the Lexicon-based and Naive Bayes classifier, showing that beaches get an incredibly positive sentiment, namely 80.87%, and hotels provide the highest negative sentiment 57.89%. The accuracy of the Confusion matrix's sentiment results shows that the accuracy, precision, and recall are 82.53%, 86.99%, and 83.43%, respectively.

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The Best Parameters to Select Instagram Account for Endorsement using Web Scraping

Cited by 12 publications

References 8 publications

A Decision Guidance for Solving Success Rate Political Campaign Using Distance Weighted kNN in Nassi-Shneiderman Framework

A Decision Guidance for Solving Success Rate Political Campaign Using Distance Weighted kNN in Nassi-Shneiderman Framework

Analisis Waktu Terbaik untuk Menerbitkan Konten di Instagram untuk Menjangkau Audiens

Sentiment Analysis on Government Performance in Tourism During The COVID-19 Pandemic Period With Lexicon Based

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