Use the text and the graph about a government digital analytics program launched in 2013 to answer the question that follows.

Source 1

Mobile traffic had a strong and steady growth from just 13% of all visitors on government websites in 2013 to nearly six out of ten (58%) visitors in 2023. The majority of mobile visitors (56%) used Apple iPhones when on government websites. In contrast, desktop visitors declined from 80% in 2013 to 40% in 2023. For desktop browsers, 43% of visitors used Chrome, 35% were on Safari, and 7% used Internet Explorer.

Source 2

Which source of information above best answers the question “How did user behavior change from year to year between 2013 and 2023?”

Question

Use the text and the graph about a government digital analytics program launched in 2013 to answer the question that follows.

Source 1

Mobile traffic had a strong and steady growth from just 13% of all visitors on government websites in 2013 to nearly six out of ten (58%) visitors in 2023. The majority of mobile visitors (56%) used Apple iPhones when on government websites. In contrast, desktop visitors declined from 80% in 2013 to 40% in 2023. For desktop browsers, 43% of visitors used Chrome, 35% were on Safari, and 7% used Internet Explorer.

Source 2

Which source of information above best answers the question “How did user behavior change from year to year between 2013 and 2023?”

BlackTom AI · Accepted Answer

To tackle the question, first restate what each source provides and then evaluate how well they address the question about year-to-year changes from 2013 to 2023.
Option: Source 2 because it provides a breakdown for each of the years, whereas Source 1 provides a high-level overview of the changes.
Consider Source 1: It offers overall shifts between 2013 and 2023 (e.g., mobile share rising to 58% and desktop share dropping to 40%), plus some proportional details about device types and browsers. While this shows overall trends across the period, it does not give year-by-year data or the trajectory steps in between; it summarizes the change without revealing the specific year-to-year progression.
Consider Source 2: The statement claims that Source 2 includes a breakdown for each year, which would directly address the question of how user behavior changed year to year from 2013 to 2023. If true, this source would allow a reader to observe the progression year by year, identify the timing of key shifts, and assess any fluctuations or acceleration in behavior across the entire period.
From a methodological standpoint, when the prompt asks for year-to-year change, a source that presents data by year is typically more informative and precise for tracing trajectories than a source that only contrasts endpoints or provides aggregate changes. The distinction matters because high-level summaries can obscure important intermediate steps, inflection points, or gradual trends that occur in specific years.
Therefore, evaluating the statements: Source 1 gives broad, endpoint-oriented information about the period, which is helpful for a general overview but not ideal for year-by-year analysis. Source 2, by promising yearly breakdowns, would better satisfy the requirement to understand how user behavior evolved across each year from 2013 to 2023. The reasoning hinges on the need for granular temporal data rather than only composite or endpoint figures.
In summary, the key strength of Source 2 lies in its potential to reveal the year-by-year progression, while Source 1’s strength is in presenting overall changes without the detailed yearly sequence. The former aligns more closely with the question’s focus on year-to-year evolution, whereas the latter may leave gaps in understanding the exact trajectory over the decade.

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